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ORCIDTanmoy Chakraborty 0002
Person information
- affiliation: Indian Institute of Technology Delhi, India (IIT Delhi)
- affiliation (former): Indraprastha Institute of Information Technology Delhi (IIIT-D), India
- affiliation (former): University of Maryland, College Park, MD, USA
- affiliation (former): Indian Institute of Technology Kharagpur, Jadavpur University
Other persons with the same name
- Tanmoy Chakraborty 0001 — Harvard University
- Tanmoy Chakraborty 0003 — West Bengal University of Technology, Kolkata, India
- Tanmoy Chakraborty 0004
![[0000-0002-3374-8125]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3374-8125")
— Manipal University Jaipur, Rajasthan, India - Tanmoy Chakraborty 0005 — Techno Main Salt Lake, Department of Computer Science and Engineering, Kolkata, India
- Tanmoy Chakraborty 0006 — Indian Institute of Science Education and Research (IISER) Kolkata, India
- Tanmoy Chakraborty 0007 — Sharda University, Department of Chemistry and Biochemistry, India
- Tanmoy Chakraborty 0008 — Khulna University of Engineering & Technology, Bangladesh
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2020 – today
- 2024
[j73]Tanmoy Chakraborty, Sarah Masud:
The Promethean Dilemma of AI at the Intersection of Hallucination and Creativity. Commun. ACM 67(10): 26-28 (2024)- [j72]Hardik Saini, Vivek Kumar, Tanmoy Chakraborty:
Energy efficient permanence-based community detection algorithm. Concurr. Comput. Pract. Exp. 36(28) (2024) - [j71]Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni:
Factuality challenges in the era of large language models and opportunities for fact-checking. Nat. Mac. Intell. 6(8): 852-863 (2024) - [j70]Shivam Sharma, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion-Aware Multimodal Fusion for Meme Emotion Detection. IEEE Trans. Affect. Comput. 15(3): 1800-1811 (2024) - [j69]Shivani Kumar, Shubham Dudeja, Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion Flip Reasoning in Multiparty Conversations. IEEE Trans. Artif. Intell. 5(3): 1339-1348 (2024) - [j68]Md. Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar, Tanmay Garg, Tanmoy Chakraborty:
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection. IEEE Trans. Comput. Soc. Syst. 11(1): 1086-1095 (2024) - [j67]Mohit Bhardwaj, Megha Sundriyal, Manjot Bedi, Md. Shad Akhtar, Tanmoy Chakraborty:
HostileNet: Multilabel Hostile Post Detection in Hindi. IEEE Trans. Comput. Soc. Syst. 11(2): 1842-1852 (2024) - [j66]Tharun Suresh, Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty:
A Comprehensive Understanding of Code-Mixed Language Semantics Using Hierarchical Transformer. IEEE Trans. Comput. Soc. Syst. 11(3): 4139-4148 (2024) - [j65]Subhabrata Dutta, Joykirat Singh, Soumen Chakrabarti, Tanmoy Chakraborty:
How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning. Trans. Mach. Learn. Res. 2024 (2024) - [c169]Subhabrata Dutta, Ishan Pandey, Joykirat Singh, Sunny Manchanda, Soumen Chakrabarti, Tanmoy Chakraborty:
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning. AAAI 2024: 17951-17959 - [c168]Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty:
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. ACL (Findings) 2024: 5042-5078 - [c167]Anwoy Chatterjee, Eshaan Tanwar, Subhabrata Dutta, Tanmoy Chakraborty:
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks. ACL (1) 2024: 11568-11587 - [c166]Neemesh Yadav, Sarah Masud, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech. ACL (Findings) 2024: 13967-13983 - [c165]Alberto Barrón-Cedeño, Firoj Alam, Julia Maria Struß, Preslav Nakov, Tanmoy Chakraborty, Tamer Elsayed, Piotr Przybyla, Tommaso Caselli, Giovanni Da San Martino, Fatima Haouari, Maram Hasanain, Chengkai Li, Jakub Piskorski, Federico Ruggeri, Xingyi Song, Reem Suwaileh:
Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. CLEF (2) 2024: 28-52 - [c164]Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Adding SPICE to Life: Speaker Profiling in Multiparty Conversations. LREC/COLING 2024: 415-425 - [c163]Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md. Shad Akhtar:
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation. LREC/COLING 2024: 15480-15492 - [c162]Shivani Kumar, Tanmoy Chakraborty:
Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues. EACL (Findings) 2024: 639-653 - [c161]Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection. EACL (Findings) 2024: 826-845 - [c160]Alberto Barrón-Cedeño, Firoj Alam, Tanmoy Chakraborty, Tamer Elsayed, Preslav Nakov, Piotr Przybyla, Julia Maria Struß, Fatima Haouari, Maram Hasanain, Federico Ruggeri, Xingyi Song, Reem Suwaileh:
The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. ECIR (5) 2024: 449-458 - [c159]Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models. EMNLP (Findings) 2024: 4407-4419 - [c158]Anwoy Chatterjee, H. S. V. N. S. Kowndinya Renduchintala, Sumit Bhatia, Tanmoy Chakraborty:
POSIX: A Prompt Sensitivity Index For Large Language Models. EMNLP (Findings) 2024: 14550-14565 - [c157]Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty:
Hate Personified: Investigating the role of LLMs in content moderation. EMNLP 2024: 15847-15863 - [c156]Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty:
Temporally Consistent Factuality Probing for Large Language Models. EMNLP 2024: 15864-15881 - [c155]Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta, Tanmoy Chakraborty:
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators. EMNLP 2024: 15895-15912 - [c154]Gurusha Juneja, Subhabrata Dutta, Tanmoy Chakraborty:
LM2: A Simple Society of Language Models Solves Complex Reasoning. EMNLP 2024: 16473-16484 - [c153]Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty:
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done! EMNLP 2024: 16820-16842 - [c152]Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md. Shad Akhtar:
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization. EMNLP 2024: 17775-17789 - [c151]Ayan Sengupta, Shantanu Dixit, Md. Shad Akhtar, Tanmoy Chakraborty:
A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation. ICLR 2024 - [c150]Salam Michael Singh, Shubhmoy Kumar Garg, Amitesh Misra, Aaditeshwar Seth, Tanmoy Chakraborty:
SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India. IJCAI 2024: 7465-7473 - [c149]Siddhant Saxena, Shounak Ghatak, Raghu Kolla, Debashis Mukherjee, Tanmoy Chakraborty:
DPHGNN: A Dual Perspective Hypergraph Neural Networks. KDD 2024: 2548-2559 - [c148]Amey Hengle, Aswini Padhi, Sahajpreet Singh, Anil Bandhakavi, Md. Shad Akhtar, Tanmoy Chakraborty:
Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF. NAACL-HLT 2024: 6716-6733 - [c147]Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty:
SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). SemEval@NAACL 2024: 1933-1946 - [c146]Ming Shan Hee, Rui Cao, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Understanding (Dark) Humour with Internet Meme Analysis. WWW (Companion Volume) 2024: 1276-1279 - [i175]Shivani Kumar, Tanmoy Chakraborty:
Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues. CoRR abs/2401.12995 (2024) - [i174]Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models. CoRR abs/2401.16727 (2024) - [i173]Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection. CoRR abs/2402.02144 (2024) - [i172]Sahil Mishra, Ujjwal Sudev, Tanmoy Chakraborty:
FLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language Models. CoRR abs/2402.13623 (2024) - [i171]Subhabrata Dutta, Joykirat Singh, Soumen Chakrabarti, Tanmoy Chakraborty:
How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning. CoRR abs/2402.18312 (2024) - [i170]Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty:
SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). CoRR abs/2402.18944 (2024) - [i169]Prottay Kumar Adhikary, Aseem Srivastava, Shivani Kumar, Salam Michael Singh, Puneet Manuja, Jini K. Gopinath, Vijay Krishnan, Swati Kedia, Koushik Sinha Deb, Tanmoy Chakraborty:
Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study. CoRR abs/2402.19052 (2024) - [i168]Shivam Sharma, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion-Aware Multimodal Fusion for Meme Emotion Detection. CoRR abs/2403.10279 (2024) - [i167]Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md. Shad Akhtar:
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation. CoRR abs/2403.16771 (2024) - [i166]Gurusha Juneja, Subhabrata Dutta, Tanmoy Chakraborty:
LM2: A Simple Society of Language Models Solves Complex Reasoning. CoRR abs/2404.02255 (2024) - [i165]Salam Michael Singh, Shubhmoy Kumar Garg, Amitesh Misra, Aaditeshwar Seth, Tanmoy Chakraborty:
SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India. CoRR abs/2405.01858 (2024) - [i164]Anwoy Chatterjee, Eshaan Tanwar, Subhabrata Dutta, Tanmoy Chakraborty:
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks. CoRR abs/2405.10548 (2024) - [i163]Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty:
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. CoRR abs/2405.11215 (2024) - [i162]Siddhant Saxena, Shounak Ghatak, Raghu Kolla, Debashis Mukherjee, Tanmoy Chakraborty:
DPHGNN: A Dual Perspective Hypergraph Neural Networks. CoRR abs/2405.16616 (2024) - [i161]Neemesh Yadav, Sarah Masud, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech. CoRR abs/2406.03953 (2024) - [i160]Sourish Dasgupta, Ankush Chander, Parth Borad, Isha Motiyani, Tanmoy Chakraborty:
PerSEval: Assessing Personalization in Text Summarizers. CoRR abs/2407.00453 (2024) - [i159]Sahajpreet Singh, Sarah Masud, Tanmoy Chakraborty:
Independent fact-checking organizations exhibit a departure from political neutrality. CoRR abs/2407.19498 (2024) - [i158]Megha Sundriyal, Harshit Choudhary, Tanmoy Chakraborty, Md. Shad Akhtar:
Crowd Intelligence for Early Misinformation Prediction on Social Media. CoRR abs/2408.04463 (2024) - [i157]Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty:
Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models. CoRR abs/2408.10151 (2024) - [i156]Aradhye Agarwal, Suhas K. Ramesh, Ayan Sengupta, Tanmoy Chakraborty:
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models. CoRR abs/2408.14470 (2024) - [i155]Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty:
Self-similarity of temporal interaction networks arises from hyperbolic geometry with time-varying curvature. CoRR abs/2409.07733 (2024) - [i154]Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta, Tanmoy Chakraborty:
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators. CoRR abs/2409.14037 (2024) - [i153]Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty:
Temporally Consistent Factuality Probing for Large Language Models. CoRR abs/2409.14065 (2024) - [i152]Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md. Shad Akhtar:
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization. CoRR abs/2409.14907 (2024) - [i151]Ujjawal Sharma, Madhav Biyani, Akhil Dev Suresh, Debi Prasad Bhuyan, Saroj Kanta Mishra, Tanmoy Chakraborty:
Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024. CoRR abs/2409.16799 (2024) - [i150]Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty:
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done! CoRR abs/2410.00149 (2024) - [i149]Anwoy Chatterjee, H. S. V. N. S. Kowndinya Renduchintala, Sumit Bhatia, Tanmoy Chakraborty:
POSIX: A Prompt Sensitivity Index For Large Language Models. CoRR abs/2410.02185 (2024) - [i148]Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty:
Hate Personified: Investigating the role of LLMs in content moderation. CoRR abs/2410.02657 (2024) - [i147]Joykirat Singh, Subhabrata Dutta, Tanmoy Chakraborty:
Mechanistic Behavior Editing of Language Models. CoRR abs/2410.04277 (2024) - [i146]Ayan Sengupta, Vaibhav Seth, Arinjay Pathak, Natraj Raman, Sriram Gopalakrishnan, Tanmoy Chakraborty:
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation. CoRR abs/2411.04358 (2024) - [i145]Prasoon Bajpai, Sarah Masud, Tanmoy Chakraborty:
Information Anxiety in Large Language Models. CoRR abs/2411.10813 (2024) - [i144]Ashutosh Bajpai, Tanmoy Chakraborty:
Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages. CoRR abs/2412.08090 (2024) - [i143]Palash Nandi, Shivam Sharma, Tanmoy Chakraborty:
SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes. CoRR abs/2412.20541 (2024) - 2023
- [j64]Subhabrata Dutta, Tanmoy Chakraborty:
Thus Spake ChatGPT. Commun. ACM 66(12): 16-19 (2023) - [j63]Tanmay Garg, Sarah Masud, Tharun Suresh, Tanmoy Chakraborty:
Handling Bias in Toxic Speech Detection: A Survey. ACM Comput. Surv. 55(13s): 264:1-264:32 (2023) - [j62]Tanmoy Chakraborty, Valerio La Gatta, Vincenzo Moscato, Giancarlo Sperlì:
Information retrieval algorithms and neural ranking models to detect previously fact-checked information. Neurocomputing 557: 126680 (2023) - [j61]Aman Roy, Shravika Mittal, Tanmoy Chakraborty:
MG2Vec+: A multi-headed graph attention network for multigraph embedding. Knowl. Inf. Syst. 65(1): 111-132 (2023) - [j60]Qing Meng, Tharun Suresh, Roy Ka-Wei Lee, Tanmoy Chakraborty:
Predicting hate intensity of twitter conversation threads. Knowl. Based Syst. 275: 110644 (2023) - [j59]Tanmoy Chakraborty, Sarah Masud:
Judging the creative prowess of AI. Nat. Mac. Intell. 5(6): 558 (2023) - [j58]Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda, Tanmoy Chakraborty:
Node injection for class-specific network poisoning. Neural Networks 166: 236-247 (2023) - [j57]Sarah Masud, Tanmoy Chakraborty:
Political mud slandering and power dynamics during Indian assembly elections. Soc. Netw. Anal. Min. 13(1): 108 (2023) - [j56]Manjot Bedi, Shivani Kumar, Md. Shad Akhtar, Tanmoy Chakraborty:
Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations. IEEE Trans. Affect. Comput. 14(2): 1363-1375 (2023) - [j55]Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty:
Multi-Document Summarization Using Selective Attention Span and Reinforcement Learning. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3457-3467 (2023) - [j54]Dhruv Sehnan, Vasu Goel, Sarah Masud, Chhavi Jain, Vikram Goyal, Tanmoy Chakraborty:
DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks. ACM Trans. Knowl. Discov. Data 17(4): 47:1-47:33 (2023) - [j53]Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery. IEEE Trans. Knowl. Data Eng. 35(1): 824-829 (2023) - [j52]Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty:
QUINT: Node Embedding Using Network Hashing. IEEE Trans. Knowl. Data Eng. 35(3): 2987-3000 (2023) - [j51]Subhabrata Dutta, Shravika Mittal, Dipankar Das, Soumen Chakrabarti, Tanmoy Chakraborty:
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals. IEEE Trans. Knowl. Data Eng. 35(6): 5991-6002 (2023) - [c145]Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. AAAI 2023: 9763-9771 - [c144]Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty:
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. AAAI 2023: 12986-12994 - [c143]Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty:
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization. ACL (1) 2023: 5272-5290 - [c142]Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar:
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation. ACL (1) 2023: 5792-5809 - [c141]Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur, Tanmoy Chakraborty:
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment. ACL (1) 2023: 6292-6307 - [c140]Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? EACL 2023: 2141-2155 - [c139]Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal:
Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph. EMNLP 2023: 2154-2166 - [c138]Rahul Vansh, Darsh Rank, Sourish Dasgupta, Tanmoy Chakraborty:
Accuracy is not enough: Evaluating Personalization in Summarizers. EMNLP (Findings) 2023: 2582-2595 - [c137]Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding. EMNLP (Findings) 2023: 3533-3549 - [c136]Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti, Sunny Manchanda, Tanmoy Chakraborty:
Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning. EMNLP 2023: 3675-3691 - [c135]Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov:
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking. EMNLP (Findings) 2023: 6594-6609 - [c134]Shivani Kumar, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty:
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues. EMNLP 2023: 9638-9652 - [c133]Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans. FIRE 2023: 7-9 - [c132]Shrey Satapara, Sarah Masud, Hiren Madhu, Md. Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty, Sandip Modha, Thomas Mandl:
Overview of the HASOC Subtracks at FIRE 2023: Detection of Hate Spans and Conversational Hate-Speech. FIRE 2023: 10-12 - [c131]Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans. FIRE (Working Notes) 2023: 147-158 - [c130]Sarah Masud, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection. FIRE (Working Notes) 2023: 360-367 - [c129]Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty:
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India. IJCAI 2023: 6386-6394 - [c128]Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty:
Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents. KDD 2023: 3724-3736 - [c127]Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty:
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment. KDD 2023: 4333-4345 - [c126]Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty:
Inline Citation Classification Using Peripheral Context and Time-Evolving Augmentation. PAKDD (4) 2023: 3-14 - [c125]Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling. WWW 2023: 1118-1129 - [i142]Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? CoRR abs/2301.11219 (2023) - [i141]Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda, Tanmoy Chakraborty:
Node Injection for Class-specific Network Poisoning. CoRR abs/2301.12277 (2023) - [i140]Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling. CoRR abs/2301.12729 (2023) - [i139]Vasu Goel, Dhruv Sahnan, Subhabrata Dutta, Anil Bandhakavi, Tanmoy Chakraborty:
Hatemongers ride on echo chambers to escalate hate speech diffusion. CoRR abs/2302.02479 (2023) - [i138]Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty:
Inline Citation Classification using Peripheral Context and Time-evolving Augmentation. CoRR abs/2303.00344 (2023) - [i137]Md. Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar, Tanmay Garg, Tanmoy Chakraborty:
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection. CoRR abs/2303.02513 (2023) - [i136]Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Speaker Profiling in Multiparty Conversations. CoRR abs/2304.08801 (2023) - [i135]Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty:
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India. CoRR abs/2304.13958 (2023) - [i134]Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur, Tanmoy Chakraborty:
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment. CoRR abs/2305.05940 (2023) - [i133]Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar:
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation. CoRR abs/2305.13776 (2023) - [i132]Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty:
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization. CoRR abs/2305.15913 (2023) - [i131]Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty:
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment. CoRR abs/2306.01105 (2023) - [i130]Shivani Kumar, Shubham Dudeja, Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion Flip Reasoning in Multiparty Conversations. CoRR abs/2306.13959 (2023) - [i129]Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty:
Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents. CoRR abs/2306.13968 (2023) - [i128]Shivani Kumar, Sumit Bhatia, Milan Aggarwal, Tanmoy Chakraborty:
Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems. CoRR abs/2307.07255 (2023) - [i127]Aseem Srivastava, Tanya Gupta, Alison Cerezo, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty:
Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities. CoRR abs/2309.01618 (2023) - [i126]Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Persona-aware Generative Model for Code-mixed Language. CoRR abs/2309.02915 (2023) - [i125]Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking. CoRR abs/2309.09274 (2023) - [i124]Sarah Masud, Ashutosh Bajpai, Tanmoy Chakraborty:
Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Speech Detection. CoRR abs/2309.11896 (2023) - [i123]Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni:
Factuality Challenges in the Era of Large Language Models. CoRR abs/2310.05189 (2023) - [i122]Shivani Kumar, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty:
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues. CoRR abs/2310.13080 (2023) - [i121]Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding. CoRR abs/2310.14206 (2023) - [i120]Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov:
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking. CoRR abs/2310.14338 (2023) - [i119]Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti, Sunny Manchanda, Tanmoy Chakraborty:
Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning. CoRR abs/2310.18338 (2023) - [i118]Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans. CoRR abs/2310.19267 (2023) - [i117]Sarah Masud, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection. CoRR abs/2311.09834 (2023) - [i116]Abhishek Madaan, Tanya Chowdhury, Neha Rana, James Allan, Tanmoy Chakraborty:
Uncertainty in Additive Feature Attribution methods. CoRR abs/2311.17446 (2023) - [i115]Subhabrata Dutta, Joykirat Singh, Ishan Pandey, Sunny Manchanda, Soumen Chakrabarti, Tanmoy Chakraborty:
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning. CoRR abs/2312.05571 (2023) - [i114]Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty:
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization. CoRR abs/2312.06022 (2023) - 2022
- [j50]Anubha Gupta, Sachin Motwani, Abhishek Agarwal, Vishaal Udandarao, Tanmoy Chakraborty:
Changing Landscape of Technical Education Pedagogy From Traditional to Practical e-Learning. Computer 55(11): 16-28 (2022) - [j49]Ayan Sengupta, Sourabh Kumar Bhattacharjee, Md. Shad Akhtar, Tanmoy Chakraborty:
Does aggression lead to hate? Detecting and reasoning offensive traits in hinglish code-mixed texts. Neurocomputing 488: 598-617 (2022) - [j48]Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu:
Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations". Neurocomputing 500: 241-242 (2022) - [j47]Dhananjay Kumar Singh, Subrata Nandi, Tanmoy Chakraborty, Prasenjit Choudhury:
Disintegrating constant communities in complex networks. J. Comput. Sci. 61: 101634 (2022) - [j46]Shivani Kumar, Anubhav Shrimal, Md. Shad Akhtar, Tanmoy Chakraborty:
Discovering emotion and reasoning its flip in multi-party conversations using masked memory network and transformer. Knowl. Based Syst. 240: 108112 (2022) - [j45]Tanmoy Chakraborty, Sarah Masud:
Nipping in the bud: detection, diffusion and mitigation of hate speech on social media. SIGWEB Newsl. 2022(Winter): 3:1-3:9 (2022) - [c124]Poorav Desai, Tanmoy Chakraborty, Md. Shad Akhtar:
Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation. AAAI 2022: 10563-10571 - [c123]Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya N. Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal:
FACTIFY: A Multi-Modal Fact Verification Dataset. DE-FACTIFY@AAAI 2022 - [c122]Parth Patwa, Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya Naresh Reganti, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja:
Benchmarking Multi-Modal Entailment for Fact Verification (short paper). DE-FACTIFY@AAAI 2022 - [c121]Parth Patwa, Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya N. Reganti, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja:
Findings of Memotion 2: Sentiment and Emotion Analysis of Memes (short paper). DE-FACTIFY@AAAI 2022 - [c120]Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya N. Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja:
Memotion 2: Dataset on Sentiment and Emotion Analysis of Memes (short paper). DE-FACTIFY@AAAI 2022 - [c119]Shivani Kumar, Atharva Kulkarni, Md. Shad Akhtar, Tanmoy Chakraborty:
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues. ACL (1) 2022: 5956-5968 - [c118]Subhabrata Dutta, Jeevesh Juneja, Dipankar Das, Tanmoy Chakraborty:
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining? ACL (1) 2022: 7774-7786 - [c117]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. COLING 2022: 6625-6643 - [c116]Manjot Bedi, Tanisha Pandey, Sumit Bhatia, Tanmoy Chakraborty:
Why Did You Not Compare with That? Identifying Papers for Use as Baselines. ECIR (1) 2022: 51-64 - [c115]Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md. Shad Akhtar, Tanmoy Chakraborty:
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter. EMNLP 2022: 7701-7715 - [c114]Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery (Extended abstract). ICDE 2022: 1483-1484 - [c113]Krishna Yadav, Md. Shad Akhtar, Tanmoy Chakraborty:
Normalization of Spelling Variations in Code-Mixed Data. ICON 2022: 269-279 - [c112]Hridoy Sankar Dutta, Nirav Diwan, Tanmoy Chakraborty:
Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network. ICWSM 2022: 147-158 - [c111]Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akhtar, Maryam Panahiazar, Amit P. Sheth:
A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework. ICWSM 2022: 640-650 - [c110]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. IJCAI 2022: 5597-5606 - [c109]Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty:
Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis. AACL/IJCNLP (1) 2022: 792-805 - [c108]Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty:
Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization. KDD 2022: 3524-3534 - [c107]Aseem Srivastava, Tharun Suresh, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty:
Counseling Summarization Using Mental Health Knowledge Guided Utterance Filtering. KDD 2022: 3920-3930 - [c106]Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. NAACL-HLT (Findings) 2022: 1572-1588 - [c105]Karish Grover, S. M. Phaneendra Angara, Md. Shad Akhtar, Tanmoy Chakraborty:
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social Text Classification. NeurIPS 2022 - [c104]Priya Mehta, Meet Maheshwari, Brihi Joshi, Tanmoy Chakraborty:
BaDumTss: Multi-task Learning for Beatbox Transcription. PAKDD (3) 2022: 173-186 - [c103]Siddharth Sadhwani, Nishant Grover, Md. Shad Akhtar, Tanmoy Chakraborty:
Detecting Anchors' Opinion in Hinglish News Delivery. PAKDD (1) 2022: 574-586 - [c102]Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty:
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision. WSDM 2022: 241-251 - [c101]Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md. Shad Akhtar, Tanmoy Chakraborty:
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations. WSDM 2022: 735-745 - [c100]Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty:
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. WSDM 2022: 1629-1631 - [e8]Md. Shad Akhtar, Tanmoy Chakraborty:
Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-38-8 [contents] - [i113]Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty:
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision. CoRR abs/2201.00614 (2022) - [i112]Tanmoy Chakraborty, Sarah Masud:
Nipping in the Bud: Detection, Diffusion and Mitigation of Hate Speech on Social Media. CoRR abs/2201.00961 (2022) - [i111]Manjot Bedi, Tanisha Pandey, Sumit Bhatia, Tanmoy Chakraborty:
Why Did You Not Compare With That? Identifying Papers for Use as Baselines. CoRR abs/2201.08089 (2022) - [i110]Tanmay Garg, Sarah Masud, Tharun Suresh, Tanmoy Chakraborty:
Handling Bias in Toxic Speech Detection: A Survey. CoRR abs/2202.00126 (2022) - [i109]Shivani Kumar, Atharva Kulkarni, Md. Shad Akhtar, Tanmoy Chakraborty:
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues. CoRR abs/2203.06419 (2022) - [i108]Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akthar, Maryam Panahiazar, Amit P. Sheth:
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework. CoRR abs/2203.11856 (2022) - [i107]Subhabrata Dutta, Jeevesh Juneja, Dipankar Das, Tanmoy Chakraborty:
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining? CoRR abs/2203.12881 (2022) - [i106]Siddharth Sadhwani, Nishant Grover, Md. Shad Akhtar, Tanmoy Chakraborty:
Detecting Anchors' Opinion in Hinghlish News Delivery. CoRR abs/2204.02155 (2022) - [i105]Ayan Sengupta, Tharun Suresh, Md. Shad Akhtar, Tanmoy Chakraborty:
A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer. CoRR abs/2204.12753 (2022) - [i104]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. CoRR abs/2205.04274 (2022) - [i103]Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. CoRR abs/2205.05738 (2022) - [i102]Aseem Srivastava, Tharun Suresh, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty:
Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering. CoRR abs/2206.03886 (2022) - [i101]Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty:
Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization. CoRR abs/2206.04007 (2022) - [i100]Qing Meng, Tharun Suresh, Roy Ka-Wei Lee, Tanmoy Chakraborty:
Predicting Hate Intensity of Twitter Conversation Threads. CoRR abs/2206.08406 (2022) - [i99]Karish Grover, S. M. Phaneendra Angara, Md. Shad Akhtar, Tanmoy Chakraborty:
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification. CoRR abs/2209.13017 (2022) - [i98]Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty:
Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis. CoRR abs/2209.14667 (2022) - [i97]Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md. Shad Akhtar, Tanmoy Chakraborty:
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter. CoRR abs/2210.04710 (2022) - [i96]Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty:
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. CoRR abs/2211.11049 (2022) - [i95]Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. CoRR abs/2212.00715 (2022) - 2021
- [b1]Deepak P, Tanmoy Chakraborty, Cheng Long, Santhosh Kumar G:
Data Science for Fake News - Surveys and Perspectives. The Information Retrieval Series 42, Springer 2021, ISBN 978-3-030-62695-2, pp. 1-302 - [j44]William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty:
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection. Appl. Soft Comput. 107: 107393 (2021) - [j43]Tanmoy Chakraborty, Sumit Bhatia, Cornelia Caragea:
Special section on mining knowledge from scientific data. Expert Syst. J. Knowl. Eng. 38(4) (2021) - [j42]Vishaal Udandarao, Abhishek Agarwal, Anubha Gupta, Tanmoy Chakraborty:
InPHYNet: Leveraging attention-based multitask recurrent networks for multi-label physics text classification. Knowl. Based Syst. 211: 106487 (2021) - [j41]Yash Kumar Atri, Shraman Pramanick, Vikram Goyal, Tanmoy Chakraborty:
See, hear, read: Leveraging multimodality with guided attention for abstractive text summarization. Knowl. Based Syst. 227: 107152 (2021) - [j40]Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty:
Hide and Seek: Outwitting Community Detection Algorithms. IEEE Trans. Comput. Soc. Syst. 8(4): 799-808 (2021) - [j39]Suraj Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Syntactically Coherent Text Augmentation for Sequence Classification. IEEE Trans. Comput. Soc. Syst. 8(6): 1323-1332 (2021) - [j38]Hridoy Sankar Dutta, Tanmoy Chakraborty:
Blackmarket-Driven Collusion on Online Media: A Survey. Trans. Data Sci. 2(4): 43:1-43:37 (2021) - [j37]Tanmoy Chakraborty, Sushil Jajodia, Jonathan Katz, Antonio Picariello, Giancarlo Sperlì, V. S. Subrahmanian:
A Fake Online Repository Generation Engine for Cyber Deception. IEEE Trans. Dependable Secur. Comput. 18(2): 518-533 (2021) - [j36]Hridoy Sankar Dutta, Mayank Jobanputra, Himani Negi, Tanmoy Chakraborty:
Detecting and Analyzing Collusive Entities on YouTube. ACM Trans. Intell. Syst. Technol. 12(5): 64:1-64:28 (2021) - [c99]Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty:
Fighting an Infodemic: COVID-19 Fake News Dataset. CONSTRAINT@AAAI 2021: 21-29 - [c98]Parth Patwa, Mohit Bhardwaj, Vineeth Guptha, Gitanjali Kumari, Shivam Sharma, Srinivas PYKL, Amitava Das, Asif Ekbal, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts. CONSTRAINT@AAAI 2021: 42-53 - [c97]Anubhav Shrimal, Tanmoy Chakraborty:
Attention Beam: An Image Captioning Approach (Student Abstract). AAAI 2021: 15887-15888 - [c96]Siddharth Yadav, Tanmoy Chakraborty:
Zera-Shot Sentiment Analysis for Code-Mixed Data. AAAI 2021: 15941-15942 - [c95]Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. ACL/IJCNLP (Findings) 2021: 2783-2796 - [c94]Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md. Shad Akhtar:
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation. ACL/IJCNLP (Findings) 2021: 4625-4639 - [c93]Nirav Diwan, Tanmoy Chakraborty, Zubair Shafiq:
Fingerprinting Fine-tuned Language Models in the Wild. ACL/IJCNLP (Findings) 2021: 4652-4664 - [c92]Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri, Tanmoy Chakraborty:
Assessing the quality of the datasets by identifying mislabeled samples. ASONAM 2021: 18-22 - [c91]Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty:
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web. CIKM 2021: 1764-1773 - [c90]Shreya Gupta, Parantak Singh, Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content. EACL 2021: 3178-3188 - [c89]Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. EMNLP (Findings) 2021: 4439-4455 - [c88]Hridoy Sankar Dutta, Kartik Aggarwal, Tanmoy Chakraborty:
DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter. HT 2021: 91-100 - [c87]Sarah Masud, Subhabrata Dutta, Sakshi Makkar, Chhavi Jain, Vikram Goyal, Amitava Das, Tanmoy Chakraborty:
Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter. ICDE 2021: 504-515 - [c86]Dhruv Sahnan, Snehil Dahiya, Vasu Goel, Anil Bandhakavi, Tanmoy Chakraborty:
Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains. ICDM 2021: 549-558 - [c85]Shraman Pramanick, Md. Shad Akhtar, Tanmoy Chakraborty:
Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis. ICWSM 2021: 513-524 - [c84]Ayan Sengupta, William Scott Paka, Suman Roy, Gaurav Ranjan, Tanmoy Chakraborty:
An Embedding-based Joint Sentiment-Topic Model for Short Texts. ICWSM 2021: 633-643 - [c83]Hridoy Sankar Dutta, Udit Arora, Tanmoy Chakraborty:
ABOME: A Multi-platform Data Repository of Artificially Boosted Online Media Entities. ICWSM 2021: 1000-1008 - [c82]Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty:
Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. KDD 2021: 2732-2742 - [c81]Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty:
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems. NeurIPS 2021: 5531-5544 - [c80]Viresh Gupta, Tanmoy Chakraborty:
VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning. PAKDD (3) 2021: 103-115 - [c79]Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty:
Combining Exogenous and Endogenous Signals with a Semi-supervised Co-attention Network for Early Detection of COVID-19 Fake Tweets. PAKDD (1) 2021: 188-200 - [c78]Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty:
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. ECML/PKDD (2) 2021: 36-51 - [p1]Tanmoy Chakraborty, Annu Joshi, Partha Sarathi Paul, Sumit Bhatia:
Wider, or Deeper! On Predicting Future of Scientific Articles by Influence Dispersion Tree. Predicting the Dynamics of Research Impact 2021: 151-176 - [e7]Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, Md. Shad Akhtar:
Combating Online Hostile Posts in Regional Languages during Emergency Situation - First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers. Communications in Computer and Information Science 1402, Springer 2021, ISBN 978-3-030-73695-8 [contents] - [e6]Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-46-6 [contents] - [e5]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12712, Springer 2021, ISBN 978-3-030-75761-8 [contents] - [e4]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12713, Springer 2021, ISBN 978-3-030-75764-9 [contents] - [e3]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12714, Springer 2021, ISBN 978-3-030-75767-0 [contents] - [i94]Shreya Gupta, Parantak Singh, Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content. CoRR abs/2101.11891 (2021) - [i93]Ankur Gupta, Yash Varun, Prarthana Das, Nithya Muttineni, Parth Srivastava, Hamim Zafar, Tanmoy Chakraborty, Swaprava Nath:
TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting. CoRR abs/2102.00509 (2021) - [i92]Viresh Gupta, Tanmoy Chakraborty:
Adversarial Attack on Network Embeddings via Supervised Network Poisoning. CoRR abs/2102.07164 (2021) - [i91]William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty:
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection. CoRR abs/2102.08924 (2021) - [i90]Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty:
Hide and Seek: Outwitting Community Detection Algorithms. CoRR abs/2102.10759 (2021) - [i89]Shivani Kumar, Anubhav Shrimal, Md. Shad Akhtar, Tanmoy Chakraborty:
Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer. CoRR abs/2103.12360 (2021) - [i88]Shraman Pramanick, Md. Shad Akhtar, Tanmoy Chakraborty:
Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis. CoRR abs/2103.12377 (2021) - [i87]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. CoRR abs/2103.12541 (2021) - [i86]Ayan Sengupta, William Scott Paka, Suman Roy, Gaurav Ranjan, Tanmoy Chakraborty:
An Embedding-based Joint Sentiment-Topic Model for Short Texts. CoRR abs/2103.14410 (2021) - [i85]Hridoy Sankar Dutta, Udit Arora, Tanmoy Chakraborty:
ABOME: A Multi-platform Data Repository of Artificially Boosted Online Media Entities. CoRR abs/2103.15250 (2021) - [i84]Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty:
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweets. CoRR abs/2104.05321 (2021) - [i83]Yash Kumar Atri, Shraman Pramanick, Vikram Goyal, Tanmoy Chakraborty:
See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization. CoRR abs/2105.09601 (2021) - [i82]Manjot Bedi, Shivani Kumar, Md. Shad Akhtar, Tanmoy Chakraborty:
Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations. CoRR abs/2105.09984 (2021) - [i81]Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md. Shad Akhtar:
HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation. CoRR abs/2105.14600 (2021) - [i80]Nirav Diwan, Tanmoy Chakraborty, Zubair Shafiq:
Fingerprinting Fine-tuned Language Models in the Wild. CoRR abs/2106.01703 (2021) - [i79]Subhabrata Dutta, Shravika Mittal, Dipankar Das, Soumen Chakrabarti, Tanmoy Chakraborty:
Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals. CoRR abs/2106.07012 (2021) - [i78]Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty:
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. CoRR abs/2106.15504 (2021) - [i77]Hridoy Sankar Dutta, Kartik Aggarwal, Tanmoy Chakraborty:
DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter. CoRR abs/2107.11697 (2021) - [i76]Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty:
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web. CoRR abs/2108.08759 (2021) - [i75]Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty:
QUINT: Node embedding using network hashing. CoRR abs/2109.04206 (2021) - [i74]Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri, Tanmoy Chakraborty:
Assessing the Quality of the Datasets by Identifying Mislabeled Samples. CoRR abs/2109.05000 (2021) - [i73]Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. CoRR abs/2109.05184 (2021) - [i72]Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty:
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings. CoRR abs/2109.13767 (2021) - [i71]Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty:
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems. CoRR abs/2109.15142 (2021) - [i70]Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. CoRR abs/2110.00413 (2021) - [i69]Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md. Shad Akhtar, Tanmoy Chakraborty:
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations. CoRR abs/2111.06647 (2021) - [i68]Hridoy Sankar Dutta, Nirav Diwan, Tanmoy Chakraborty:
Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network. CoRR abs/2111.14086 (2021) - [i67]Poorav Desai, Tanmoy Chakraborty, Md. Shad Akhtar:
Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation. CoRR abs/2112.04873 (2021) - [i66]Dhruv Sahnan, Vasu Goel, Sarah Masud, Chhavi Jain, Vikram Goyal, Tanmoy Chakraborty:
DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks. CoRR abs/2112.06267 (2021) - 2020
- [j35]Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty:
Changing views: Persuasion modeling and argument extraction from online discussions. Inf. Process. Manag. 57(2): 102085 (2020) - [j34]Zhe Cui, Noseong Park, Tanmoy Chakraborty:
Incremental community discovery via latent network representation and probabilistic inference. Knowl. Inf. Syst. 62(6): 2281-2300 (2020) - [j33]Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty:
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings. Trans. Assoc. Comput. Linguistics 8: 486-503 (2020) - [j32]Viresh Gupta, Aayush Aggarwal, Tanmoy Chakraborty:
Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews. IEEE Trans. Comput. Soc. Syst. 7(3): 741-750 (2020) - [j31]Tanmoy Chakraborty, Noseong Park, Ayush Agarwal, V. S. Subrahmanian:
Ensemble Detection and Analysis of Communities in Complex Networks. Trans. Data Sci. 1(1): 2:1-2:34 (2020) - [j30]Tanmoy Chakraborty, Fabio Pierazzi, V. S. Subrahmanian:
EC2: Ensemble Clustering and Classification for Predicting Android Malware Families. IEEE Trans. Dependable Secur. Comput. 17(2): 262-277 (2020) - [j29]Hridoy Sankar Dutta, Tanmoy Chakraborty:
Blackmarket-Driven Collusion Among Retweeters-Analysis, Detection, and Characterization. IEEE Trans. Inf. Forensics Secur. 15: 1935-1944 (2020) - [j28]Hridoy Sankar Dutta, Vishal Raj Dutta, Aditya Adhikary, Tanmoy Chakraborty:
HawkesEye: Detecting Fake Retweeters Using Hawkes Process and Topic Modeling. IEEE Trans. Inf. Forensics Secur. 15: 2667-2678 (2020) - [j27]Udit Arora, Hridoy Sankar Dutta, Brihi Joshi, Aditya Chetan, Tanmoy Chakraborty:
Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities. ACM Trans. Intell. Syst. Technol. 11(3): 35:1-35:24 (2020) - [c77]Sarthak Jindal, Raghav Sood, Richa Singh, Mayank Vatsa, Tanmoy Chakraborty:
NewsBag: A Benchmark Multimodal Dataset for Fake News Detection. SafeAI@AAAI 2020: 138-145 - [c76]Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru:
SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract). AAAI 2020: 13915-13916 - [c75]Hridoy Sankar Dutta, Tanmoy Chakraborty:
Adversarial Collusion on the Web: State-of-the-Art and Future Directions. BDA 2020: 230-235 - [c74]Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath:
Aspect-Based Academic Search Using Domain-Specific KB. ECIR (2) 2020: 418-424 - [c73]Alvin Dey, Tanya Chowdhury, Yash Kumar Atri, Tanmoy Chakraborty:
Corpora Evaluation and System Bias detection in Multi Document Summarization. EMNLP (Findings) 2020: 2830-2840 - [c72]Siva Charan Reddy Gangireddy, Deepak P, Cheng Long, Tanmoy Chakraborty:
Unsupervised Fake News Detection: A Graph-based Approach. HT 2020: 75-83 - [c71]Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty:
Neural Abstractive Summarization with Structural Attention. IJCAI 2020: 3716-3722 - [c70]Baani Leen Kaur Jolly, Lavina Jain, Debajyoti Bera, Tanmoy Chakraborty:
Unsupervised Anomaly Detection in Journal-Level Citation Networks. JCDL 2020: 27-36 - [c69]Subhabrata Dutta, Sarah Masud, Soumen Chakrabarti, Tanmoy Chakraborty:
Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction. KDD 2020: 1999-2008 - [c68]Aman Roy, Vinayak Kumar, Debdoot Mukherjee, Tanmoy Chakraborty:
Learning Multigraph Node Embeddings Using Guided Lévy Flights. PAKDD (1) 2020: 524-537 - [c67]Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
Modeling Citation Trajectories of Scientific Papers. PAKDD (2) 2020: 620-632 - [c66]Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas PYKL, Amitava Das, Tanmoy Chakraborty, Viswanath Pulabaigari, Björn Gambäck:
SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor! SemEval@COLING 2020: 759-773 - [c65]Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL, Björn Gambäck, Tanmoy Chakraborty, Thamar Solorio, Amitava Das:
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets. SemEval@COLING 2020: 774-790 - [i65]Karan Dabas, Nishtha Madaan, Vijay Arya, Sameep Mehta, Gautam Singh, Tanmoy Chakraborty:
Fair Transfer of Multiple Style Attributes in Text. CoRR abs/2001.06693 (2020) - [i64]Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath:
Aspect-based Academic Search using Domain-specific KB. CoRR abs/2001.10781 (2020) - [i63]Siddharth Yadav, Tanmoy Chakraborty:
Unsupervised Sentiment Analysis for Code-mixed Data. CoRR abs/2001.11384 (2020) - [i62]Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
Modeling Citation Trajectories of Scientific Papers. CoRR abs/2002.06628 (2020) - [i61]Viresh Gupta, Aayush Aggarwal, Tanmoy Chakraborty:
Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews. CoRR abs/2004.05865 (2020) - [i60]Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty:
Neural Abstractive Summarization with Structural Attention. CoRR abs/2004.09739 (2020) - [i59]Hridoy Sankar Dutta, Mayank Jobanputra, Himani Negi, Tanmoy Chakraborty:
Detecting and analyzing collusive entities on YouTube. CoRR abs/2005.06243 (2020) - [i58]Baani Leen Kaur Jolly, Lavina Jain, Debajyoti Bera, Tanmoy Chakraborty:
Unsupervised Anomaly Detection in Journal-Level Citation Networks. CoRR abs/2005.14343 (2020) - [i57]Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty:
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings. CoRR abs/2006.01938 (2020) - [i56]Subhabrata Dutta, Sarah Masud, Soumen Chakrabarti, Tanmoy Chakraborty:
Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction. CoRR abs/2006.07812 (2020) - [i55]Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas PYKL, Amitava Das, Tanmoy Chakraborty, Viswanath Pulabaigari, Björn Gambäck:
SemEval-2020 Task 8: Memotion Analysis - The Visuo-Lingual Metaphor! CoRR abs/2008.03781 (2020) - [i54]Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL, Björn Gambäck, Tanmoy Chakraborty, Thamar Solorio, Amitava Das:
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets. CoRR abs/2008.04277 (2020) - [i53]Hridoy Sankar Dutta, Tanmoy Chakraborty:
Blackmarket-driven Collusion on Online Media: A Survey. CoRR abs/2008.13102 (2020) - [i52]Shravika Mittal, Tanmoy Chakraborty, Siddharth Pal:
Dynamics of node influence in network growth models. CoRR abs/2009.00235 (2020) - [i51]Alvin Dey, Tanya Chowdhury, Yash Kumar Atri, Tanmoy Chakraborty:
Corpora Evaluation and System Bias Detection in Multi-document Summarization. CoRR abs/2010.01786 (2020) - [i50]Sarah Masud, Subhabrata Dutta, Sakshi Makkar, Chhavi Jain, Vikram Goyal, Amitava Das, Tanmoy Chakraborty:
Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter. CoRR abs/2010.04377 (2020) - [i49]Anubhav Shrimal, Tanmoy Chakraborty:
Attention Beam: An Image Captioning Approach. CoRR abs/2011.01753 (2020) - [i48]Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty:
Fighting an Infodemic: COVID-19 Fake News Dataset. CoRR abs/2011.03327 (2020) - [i47]Mohit Bhardwaj, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty:
Hostility Detection Dataset in Hindi. CoRR abs/2011.03588 (2020)
2010 – 2019
- 2019
- [j26]R. Sudhesh Solomon, Srinivas PYKL, Amitava Das, Björn Gambäck, Tanmoy Chakraborty:
Understanding the Psycho-Sociological Facets of Homophily in Social Network Communities. IEEE Comput. Intell. Mag. 14(2): 28-40 (2019) - [j25]Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park:
Ensemble-based overlapping community detection using disjoint community structures. Knowl. Based Syst. 163: 241-251 (2019) - [j24]Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty:
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. ACM Trans. Intell. Syst. Technol. 10(4): 42:1-42:27 (2019) - [c64]Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty:
Incorporating Network Embedding into Markov Random Field for Better Community Detection. AAAI 2019: 160-167 - [c63]Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti:
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models. AAAI 2019: 6497-6504 - [c62]Udit Arora, William Scott Paka, Tanmoy Chakraborty:
Multitask learning for blackmarket tweet detection. ASONAM 2019: 127-130 - [c61]Shivangi Singhal, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru, Shin'ichi Satoh:
SpotFake: A Multi-modal Framework for Fake News Detection. BigMM 2019: 39-47 - [c60]Subhabrata Dutta, Dipankar Das, Gunkirat Kaur, Shreyans Mongia, Arpan Mukherjee, Tanmoy Chakraborty:
Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion. CIKM 2019: 1271-1280 - [c59]Tanya Chowdhury, Tanmoy Chakraborty:
CQASUMM: Building References for Community Question Answering Summarization Corpora. COMAD/CODS 2019: 18-26 - [c58]Sonu Gupta, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
MalReG: Detecting and Analyzing Malicious Retweeter Groups. COMAD/CODS 2019: 61-69 - [c57]Viresh Gupta, Mohit Agarwal, Manik Arora, Tanmoy Chakraborty, Richa Singh, Mayank Vatsa:
Bag-Of-Lies: A Multimodal Dataset for Deception Detection. CVPR Workshops 2019: 83-90 - [c56]Janu Verma, Srishti Gupta, Debdoot Mukherjee, Tanmoy Chakraborty:
Heterogeneous Edge Embedding for Friend Recommendation. ECIR (2) 2019: 172-179 - [c55]Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty:
Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory. ICDM 2019: 180-189 - [c54]Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty:
Spotting Collective Behaviour of Online Frauds in Customer Reviews. IJCAI 2019: 245-251 - [c53]Dattatreya Mohapatra, Abhishek Maiti, Sumit Bhatia, Tanmoy Chakraborty:
Go Wide, Go Deep: Quantifying the Impact of Scientific Papers Through Influence Dispersion Trees. JCDL 2019: 305-314 - [c52]Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty:
Multi-task Learning for Target-Dependent Sentiment Classification. PAKDD (1) 2019: 185-197 - [c51]Viresh Gupta, Baani Leen Kaur Jolly, Ramneek Kaur, Tanmoy Chakraborty:
Clark Kent at SemEval-2019 Task 4: Stylometric Insights into Hyperpartisan News Detection. SemEval@NAACL-HLT 2019: 934-938 - [c50]Arpan Mukherjee, Shubhi Tiwari, Tanya Chowdhury, Tanmoy Chakraborty:
Automatic Curation of Content Tables for Educational Videos. SIGIR 2019: 1329-1332 - [c49]Harish Fulara, Gursimran Singh, Dheryta Jaisinghani, Mukulika Maity, Tanmoy Chakraborty, Vinayak Naik:
Use of Machine Learning to Detect Causes of Unnecessary Active Scanning in WiFi Networks. WOWMOM 2019: 1-9 - [c48]Aditya Chetan, Brihi Joshi, Hridoy Sankar Dutta, Tanmoy Chakraborty:
CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities. WSDM 2019: 330-338 - [i46]Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty:
Multi-task Learning for Target-dependent Sentiment Classification. CoRR abs/1902.02930 (2019) - [i45]Janu Verma, Srishti Gupta, Debdoot Mukherjee, Tanmoy Chakraborty:
Heterogeneous Edge Embeddings for Friend Recommendation. CoRR abs/1902.03124 (2019) - [i44]Mansi Goel, Ayush Agarwal, Deepak Thukral, Tanmoy Chakraborty:
Fiducia: A Personalized Food Recommender System for Zomato. CoRR abs/1903.10117 (2019) - [i43]Dattatreya Mohapatra, Abhishek Maiti, Sumit Bhatia, Tanmoy Chakraborty:
Go Wide, Go Deep: Quantifying the Impact of Scientific Papers through Influence Dispersion Trees. CoRR abs/1904.07579 (2019) - [i42]Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty:
Spotting Collusive Behaviour of Online Fraud Groups in Customer Reviews. CoRR abs/1905.13649 (2019) - [i41]Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty:
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. CoRR abs/1906.00145 (2019) - [i40]Viray Parimi, Arindam Pal, Sushmita Ruj, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
Understanding Vulnerability of Communities in Complex Networks. CoRR abs/1906.05238 (2019) - [i39]Udit Arora, William Scott Paka, Tanmoy Chakraborty:
Multitask Learning for Blackmarket Tweet Detection. CoRR abs/1907.04072 (2019) - [i38]Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty:
Changing Views: Persuasion Modeling and Argument Extraction from Online Discussions. CoRR abs/1907.06076 (2019) - [i37]Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty:
Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory. CoRR abs/1908.03770 (2019) - [i36]Subhabrata Dutta, Gunkirat Kaur, Shreyans Mongia, Arpan Mukherjee, Dipankar Das, Tanmoy Chakraborty:
Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion. CoRR abs/1909.01200 (2019) - [i35]Suryatej Reddy Vyalla, Vishaal Udandarao, Tanmoy Chakraborty:
Memeify: A Large-Scale Meme Generation System. CoRR abs/1910.12279 (2019) - [i34]Alvin Dey, Harsh Kumar Jain, Vikash Kumar Pandey, Tanmoy Chakraborty:
All It Takes is 20 Questions!: A Knowledge Graph Based Approach. CoRR abs/1911.05161 (2019) - 2018
- [j23]Soumi Dutta, Vibhash Chandra, Kanav Mehra, Asit Kumar Das, Tanmoy Chakraborty, Saptarshi Ghosh:
Ensemble Algorithms for Microblog Summarization. IEEE Intell. Syst. 33(3): 4-14 (2018) - [j22]Tushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das:
Revealing Psycholinguistic Dimensions of Communities in Social Networks. IEEE Intell. Syst. 33(4): 36-48 (2018) - [j21]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens, Muhammad Imran:
Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends. Inf. Syst. Frontiers 20(5): 901-907 (2018) - [j20]Upendra Kumar, Aishwarya N. Reganti, Tushar Maheshwari, Tanmoy Chakraborty, Björn Gambäck, Amitava Das:
Inducing Personalities and Values from Language Use in Social Network Communities. Inf. Syst. Frontiers 20(6): 1219-1240 (2018) - [j19]Tanmoy Chakraborty, Sushil Jajodia, Noseong Park, Andrea Pugliese, Edoardo Serra, V. S. Subrahmanian:
Hybrid adversarial defense: Merging honeypots and traditional security methods. J. Comput. Secur. 26(5): 615-645 (2018) - [j18]Tanmoy Chakraborty, Subrata Nandi:
Universal trajectories of scientific success. Knowl. Inf. Syst. 54(2): 487-509 (2018) - [j17]Tanmoy Chakraborty:
Role of interdisciplinarity in computer sciences: quantification, impact and life trajectory. Scientometrics 114(3): 1011-1029 (2018) - [j16]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens:
Report on the Second Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2018) at the Web Conference (WWW) 2018. SIGIR Forum 52(2): 163-168 (2018) - [j15]Eric Lancaster, Tanmoy Chakraborty, V. S. Subrahmanian:
MALTP: Parallel Prediction of Malicious Tweets. IEEE Trans. Comput. Soc. Syst. 5(4): 1096-1108 (2018) - [c47]Hridoy Sankar Dutta, Aditya Chetan, Brihi Joshi, Tanmoy Chakraborty:
Retweet Us, We will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services. ASONAM 2018: 242-249 - [c46]Ryan Miller, Ralucca Gera, Akrati Saxena, Tanmoy Chakraborty:
Discovering and Leveraging Communities in Dark Multi-Layered Networks for Network Disruption. ASONAM 2018: 1152-1159 - [c45]Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee:
ComPAS: Community Preserving Sampling for Streaming Graphs. AAMAS 2018: 184-192 - [c44]Sanghyun Hong, Noseong Park, Tanmoy Chakraborty, Hyunjoong Kang, Soonhyun Kwon:
PAGE: Answering Graph Pattern Queries via Knowledge Graph Embedding. BigData Congress 2018: 87-99 - [c43]Ankesh Anand, Kshitij Gorde, Joel Ruben Antony Moniz, Noseong Park, Tanmoy Chakraborty, Bei-Tseng Chu:
Phishing URL Detection with Oversampling based on Text Generative Adversarial Networks. IEEE BigData 2018: 1168-1177 - [c42]Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim:
MMGAN: Manifold-Matching Generative Adversarial Networks. ICPR 2018: 1343-1348 - [c41]Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty:
DyPerm: Maximizing Permanence for Dynamic Community Detection. PAKDD (1) 2018: 437-449 - [c40]Tanmoy Chakraborty, Zhe Cui, Noseong Park:
Metadata vs. Ground-truth: A Myth behind the Evolution of Community Detection Methods. WWW (Companion Volume) 2018: 45-46 - [c39]Tanya Chowdhury, Aashay Mittal, Tanmoy Chakraborty:
VIZ-Wiki: Generating Visual Summaries to Factoid Threads in Community Question Answering Services. WWW (Companion Volume) 2018: 231-234 - [c38]Srishti Gupta, Abhinav Khattar, Arpit Gogia, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach. WWW 2018: 529-538 - [c37]Marie-Francine Moens, Gareth J. F. Jones, Saptarshi Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Kripabandhu Ghosh:
WWW'18 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness: Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1609-1611 - [i33]Binny Mathew, Unnikrishnan T. A, Tanmoy Chakraborty, Niloy Ganguly, Samik Datta:
Mining Twitter Conversations around E-commerce Promotional Events. CoRR abs/1802.01159 (2018) - [i32]Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee:
ComPAS: Community Preserving Sampling for Streaming Graphs. CoRR abs/1802.01614 (2018) - [i31]Srishti Gupta, Abhinav Khattar, Arpit Gogia, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach. CoRR abs/1802.04168 (2018) - [i30]Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty:
DyPerm: Maximizing Permanence for Dynamic Community Detection. CoRR abs/1802.04593 (2018) - [i29]Hridoy Sankar Dutta, Aditya Chetan, Brihi Joshi, Tanmoy Chakraborty:
Retweet Us, We Will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services. CoRR abs/1806.08979 (2018) - [i28]Joyita Chakraborty, Dinesh Pradhan, Hridoy Sankar Dutta, Subrata Nandi, Tanmoy Chakraborty:
On Good and Bad Intentions behind Anomalous Citation Patterns among Journals in Computer Sciences. CoRR abs/1807.10804 (2018) - [i27]Subhabrata Dutta, Tanmoy Chakraborty, Dipankar Das:
How did the discussion go: Discourse act classification in social media conversations. CoRR abs/1808.02290 (2018) - [i26]Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park:
Ensemble-based Overlapping Community Detection using Disjoint Community Structures. CoRR abs/1808.06200 (2018) - [i25]Tanya Chowdhury, Tanmoy Chakraborty:
CQASUMM: Building References for Community Question Answering Summarization Corpora. CoRR abs/1811.04884 (2018) - [i24]Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti:
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models. CoRR abs/1811.11456 (2018) - 2017
- [j14]Tanmoy Chakraborty:
On the discovery of invariant groups in complex networks. J. Complex Networks 5(5): 734-749 (2017) - [j13]Tanmoy Chakraborty, Ayushi Dalmia, Animesh Mukherjee, Niloy Ganguly:
Metrics for Community Analysis: A Survey. ACM Comput. Surv. 50(4): 54:1-54:37 (2017) - [j12]Dinesh Pradhan, Partha Sarathi Paul, Umesh Maheswari, Subrata Nandi, Tanmoy Chakraborty:
C3-index: a PageRank based multi-faceted metric for authors' performance measurement. Scientometrics 110(1): 253-273 (2017) - [j11]Ratnadeep Dey, Anurag Roy, Tanmoy Chakraborty, Saptarshi Ghosh:
Sleeping beauties in Computer Science: characterization and early identification. Scientometrics 113(3): 1645-1663 (2017) - [j10]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens:
ECIR 2017 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2017). SIGIR Forum 51(1): 36-41 (2017) - [c36]Tushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das:
Semantic Interpretation of Social Network Communities. AAAI 2017: 4967-4968 - [c35]Aishwarya N. Reganti, Tushar Maheshwari, Amitava Das, Tanmoy Chakraborty, Ponnurangam Kumaraguru:
Understanding Psycho-Sociological Vulnerability of ISIS Patronizers in Twitter. ASONAM 2017: 621-624 - [c34]Tushar Maheshwari, Aishwarya N. Reganti, Tanmoy Chakraborty, Amitava Das:
Socio-Ethnic Ingredients of Social Network Communities. CSCW Companion 2017: 235-238 - [c33]Ankesh Anand, Tanmoy Chakraborty, Noseong Park:
We Used Neural Networks to Detect Clickbaits: You Won't Believe What Happened Next! ECIR 2017: 541-547 - [c32]Ankesh Anand, Tanmoy Chakraborty, Amitava Das:
FairScholar: Balancing Relevance and Diversity for Scientific Paper Recommendation. ECIR 2017: 753-757 - [c31]Sanghyun Hong, Tanmoy Chakraborty, Sungjin Ahn, Ghaith Husari, Noseong Park:
SENA: Preserving Social Structure for Network Embedding. HT 2017: 235-244 - [c30]Tanmoy Chakraborty:
EC3: Combining Clustering and Classification for Ensemble Learning. ICDM 2017: 781-786 - [c29]Tanmoy Chakraborty, Des Chandhok, V. S. Subrahmanian:
MC3: A Multi-class Consensus Classification Framework. PAKDD (1) 2017: 343-355 - [e2]Saptarshi Ghosh, Kripabandhu Ghosh, Tanmoy Chakraborty, Debasis Ganguly, Gareth J. F. Jones, Marie-Francine Moens:
Proceedings of the First International Workshop on Exploitation of Social Media for Emergency Relief and Preparedness co-located with European Conference on Information Retrieval, SMERP@ECIR 2017, Aberdeen, UK, April 9, 2017. CEUR Workshop Proceedings 1832, CEUR-WS.org 2017 [contents] - [i23]Souvick Ghosh, Dipankar Das, Tanmoy Chakraborty:
Determining sentiment in citation text and analyzing its impact on the proposed ranking index. CoRR abs/1707.01425 (2017) - [i22]Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim:
MMGAN: Manifold Matching Generative Adversarial Network for Generating Images. CoRR abs/1707.08273 (2017) - [i21]Tanmoy Chakraborty:
EC3: Combining Clustering and Classification for Ensemble Learning. CoRR abs/1708.08591 (2017) - [i20]Tanmoy Chakraborty:
Role of Interdisciplinarity in Computer Sciences: Quantification, Impact and Life Trajectory. CoRR abs/1710.06158 (2017) - [i19]Tanmoy Chakraborty, Noseong Park:
Ensemble-Based Discovery of Disjoint, Overlapping and Fuzzy Community Structures in Networks. CoRR abs/1712.02370 (2017) - 2016
- [j9]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization. J. Informetrics 10(4): 1005-1022 (2016) - [j8]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
Permanence and Community Structure in Complex Networks. ACM Trans. Knowl. Discov. Data 11(2): 14:1-14:34 (2016) - [j7]Tanmoy Chakraborty, Suhansanu Kumar, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
GenPerm: A Unified Method for Detecting Non-Overlapping and Overlapping Communities. IEEE Trans. Knowl. Data Eng. 28(8): 2101-2114 (2016) - [c28]Tanmoy Chakraborty, Noseong Park, V. S. Subrahmanian:
Ensemble-based algorithms to detect disjoint and overlapping communities in networks. ASONAM 2016: 73-80 - [c27]Tanmoy Chakraborty, Prasenjit Choudhury:
Authorship identification in Bengali language: A graph based approach. ASONAM 2016: 443-446 - [c26]Souvick Ghosh, Dipankar Das, Tanmoy Chakraborty:
Determining Sentiment in Citation Text and Analyzing Its Impact on the Proposed Ranking Index. CICLing (2) 2016: 292-306 - [c25]Binny Mathew, Unnikrishnan T. A, Tanmoy Chakraborty, Niloy Ganguly, Samik Datta:
Mining Twitter Conversations around E-commerce Promotional Events. CSCW Companion 2016: 345-348 - [c24]Tanmoy Chakraborty, Ramasuri Narayanam:
All Fingers are not Equal: Intensity of References in Scientific Articles. EMNLP 2016: 1348-1358 - [c23]Tanmoy Chakraborty, Ramasuri Narayanam:
Cross-layer betweenness centrality in multiplex networks with applications. ICDE 2016: 397-408 - [c22]Satarupa Guha, Tanmoy Chakraborty, Samik Datta, Mohit Kumar, Vasudeva Varma:
TweetGrep: Weakly Supervised Joint Retrieval and Sentiment Analysis of Topical Tweets. ICWSM 2016: 161-170 - [c21]Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Niloy Ganguly, Pawan Goyal, Animesh Mukherjee:
FeRoSA: A Faceted Recommendation System for Scientific Articles. PAKDD (2) 2016: 528-541 - [c20]Dinesh Pradhan, Partha Sarathi Paul, Umesh Maheswari, Subrata Nandi, Tanmoy Chakraborty:
C3-index: revisiting author's performance measure. WebSci 2016: 318-319 - [c19]Dinesh Pradhan, Tanmoy Chakraborty, Saswata Pandit, Subrata Nandi:
On the Discovery of Success Trajectories of Authors. WWW (Companion Volume) 2016: 91-92 - [e1]Tanmoy Chakraborty, Martin Riedl, V. G. Vinod Vydiswaran:
Proceedings of TextGraphs@NAACL-HLT 2016: the 10th Workshop on Graph-based Methods for Natural Language Processing, June 17, 2016, San Diego, California, USA. The Association for Computer Linguistics 2016, ISBN 978-1-941643-88-4 [contents] - [i18]Dinesh Pradhan, Tanmoy Chakraborty, Saswata Pandit, Subrata Nandi:
On the Discovery of Success Trajectories of Authors. CoRR abs/1602.01904 (2016) - [i17]Dinesh Pradhan, Partha Sarathi Paul, Umesh Maheswari, Subrata Nandi, Tanmoy Chakraborty:
C3-index: Revisiting Authors' Performance Measure. CoRR abs/1604.02363 (2016) - [i16]Tanmoy Chakraborty, Suhansanu Kumar, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
GenPerm: A Unified Method for Detecting Non-overlapping and Overlapping Communities. CoRR abs/1604.03454 (2016) - [i15]Tanmoy Chakraborty, Ayushi Dalmia, Animesh Mukherjee, Niloy Ganguly:
Metrics for Community Analysis: A Survey. CoRR abs/1604.03512 (2016) - [i14]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
Permanence and Community Structure in Complex Networks. CoRR abs/1606.01543 (2016) - [i13]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization. CoRR abs/1608.01101 (2016) - [i12]Tanmoy Chakraborty, Ramasuri Narayanam:
All Fingers are not Equal: Intensity of References in Scientific Articles. CoRR abs/1609.00081 (2016) - [i11]Tanmoy Chakraborty, Noseong Park, V. S. Subrahmanian:
Ensemble-Based Algorithms to Detect Disjoint and Overlapping Communities in Networks. CoRR abs/1609.04903 (2016) - [i10]Dinesh Pradhan, Partha Sarathi Paul, Umesh Maheswari, Subrata Nandi, Tanmoy Chakraborty:
C3-index: A PageRank based multi-faceted metric for authors' performance measurement. CoRR abs/1610.07061 (2016) - [i9]Ankesh Anand, Tanmoy Chakraborty, Noseong Park:
We used Neural Networks to Detect Clickbaits: You won't believe what happened Next! CoRR abs/1612.01340 (2016) - 2015
- [j6]Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee:
On the categorization of scientific citation profiles in computer science. Commun. ACM 58(9): 82-90 (2015) - [j5]Mayank Singh, Soumajit Pramanik, Tanmoy Chakraborty:
PubIndia: A Framework for Analyzing Indian Research Publications in Computer Science. D Lib Mag. 21(11/12) (2015) - [j4]Tanmoy Chakraborty, Vihar Tammana, Niloy Ganguly, Animesh Mukherjee:
Understanding and modeling diverse scientific careers of researchers. J. Informetrics 9(1): 69-78 (2015) - [j3]Tanmoy Chakraborty, Niloy Ganguly, Animesh Mukherjee:
An author is known by the context she keeps: significance of network motifs in scientific collaborations. Soc. Netw. Anal. Min. 5(1): 16:1-16:21 (2015) - [c18]Mayank Singh, Vikas Patidar, Suhansanu Kumar, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
The Role Of Citation Context In Predicting Long-Term Citation Profiles: An Experimental Study Based On A Massive Bibliographic Text Dataset. CIKM 2015: 1271-1280 - [c17]Tanmoy Chakraborty, Natwar Modani, Ramasuri Narayanam, Seema Nagar:
DiSCern: A diversified citation recommendation system for scientific queries. ICDE 2015: 555-566 - [c16]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
ConfAssist: A Conflict Resolution Framework for Assisting the Categorization of Computer Science Conferences. JCDL 2015: 257-258 - [c15]Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee:
On the Formation of Circles in Co-authorship Networks. KDD 2015: 109-118 - [i8]Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee:
On the categorization of scientific citation profiles in computer sciences. CoRR abs/1503.06268 (2015) - [i7]Tanmoy Chakraborty:
Leveraging disjoint communities for detecting overlapping community structure. CoRR abs/1504.06608 (2015) - [i6]Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee:
On the Formation of Circles in Co-authorship Networks. CoRR abs/1505.04560 (2015) - 2014
- [j2]Tanmoy Chakraborty, Sandipan Sikdar, Niloy Ganguly, Animesh Mukherjee:
Citation interactions among computer science fields: a quantitative route to the rise and fall of scientific research. Soc. Netw. Anal. Min. 4(1): 187 (2014) - [c14]Tanmoy Chakraborty, Niloy Ganguly, Animesh Mukherjee:
Automatic classification of scientific groups as productive: An approach based on motif analysis. ASONAM 2014: 130-137 - [c13]Tanmoy Chakraborty, Niloy Ganguly, Animesh Mukherjee:
Rising popularity of interdisciplinary research - An analysis of citation networks. COMSNETS 2014: 1-6 - [c12]Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee:
Towards a stratified learning approach to predict future citation counts. JCDL 2014: 351-360 - [c11]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
On the permanence of vertices in network communities. KDD 2014: 1396-1405 - [i5]Tanmoy Chakraborty, Dipankar Das, Sivaji Bandyopadhyay:
Identifying Bengali Multiword Expressions using Semantic Clustering. CoRR abs/1401.6122 (2014) - [i4]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
On the Permanence of Vertices in Network Communities. CoRR abs/1406.2426 (2014) - 2013
- [c10]Tanmoy Chakraborty, Sandipan Sikdar, Vihar Tammana, Niloy Ganguly, Animesh Mukherjee:
Computer science fields as ground-truth communities: their impact, rise and fall. ASONAM 2013: 426-433 - [c9]Tanmoy Chakraborty, Abhijnan Chakraborty:
OverCite: finding overlapping communities in citation network. ASONAM 2013: 1124-1131 - [c8]Tanmoy Chakraborty, Srijan Kumar, M. Dastagiri Reddy, Suhansanu Kumar, Niloy Ganguly, Animesh Mukherjee:
Automatic Classification and Analysis of Interdisciplinary Fields in Computer Sciences. SocialCom 2013: 180-187 - [i3]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Sanjukta Bhowmick, Animesh Mukherjee:
Constant Communities in Complex Networks. CoRR abs/1302.5794 (2013) - 2012
- [c7]Tanmoy Chakraborty:
Authorship Identification in Bengali Literature: a Comparative Analysis. COLING (Demos) 2012: 41-50 - [c6]Sriram Srinivasan, Tanmoy Chakraborty, Sanjukta Bhowmick:
Identifying base clusters and their application to maximizing modularity. Graph Partitioning and Graph Clustering 2012: 141-156 - [c5]Tanmoy Chakraborty:
Identification of Nominal Multiword Expressions in Bengali using CRF. IHCI 2012: 1-6 - [i2]Tanmoy Chakraborty:
Authorship Identification Using Stylometry Analysis in Bengali Literature. CoRR abs/1208.6268 (2012) - [i1]Tanmoy Chakraborty, Sivaji Bandyopadhyay:
Inference of Fine-grained Attributes of Bengali Corpus for Stylometry Detection. CoRR abs/1210.3729 (2012) - 2011
- [j1]Tanmoy Chakraborty, Sivaji Bandyopadhyay:
Inference of Fine-grained Attributes of Bengali Corpus for Stylometry Detection. Polibits 44: 79-83 (2011) - [c4]Santanu Pal, Tanmoy Chakraborty, Sivaji Bandyopadhyay:
Handling Multiword Expressions in Phrase-Based Statistical Machine Translation. MTSummit 2011 - [c3]Tanmoy Chakraborty, Dipankar Das, Sivaji Bandyopadhyay:
Semantic Clustering: an Attempt to Identify Multiword Expressions in Bengali. MWE@ACL 2011: 8-13 - 2010
- [c2]Dipankar Das, Santanu Pal, Tapabrata Mondal, Tanmoy Chakraborty, Sivaji Bandyopadhyay:
Automatic Extraction of Complex Predicates in Bengali. MWE@COLING 2010: 37-45 - [c1]Tanmoy Chakraborty, Sivaji Bandyopadhyay:
Identification of Reduplication in Bengali Corpus and their Semantic Analysis: A Rule Based Approach. MWE@COLING 2010: 73-76
Coauthor Index
[j70] [j69] [j67] [j66] [c166] [c164] [c163] [c161] [c152] [c151] [c148] [c147] [i173] [i170] [i168] [i167] [i161] [i158] [i152] [j56] [c145] [c144] [c143] [c142] [c140] [c137] [c134] [c133] [c132] [c131] [c130] [c125] [i142] [i140] [i136] [i133] [i132] [i130] [i127] [i126] [i125] [i122] [i121] [i118] [i117] [j49] [j46] [c124] [c119] [c115] [c113] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c103] [c101] [e8] [i109] [i106] [i105] [i104] [i103] [i102] [i101] [i99] [i98] [i97] [i96] [i95] [j39] [c99] [c98] [c95] [c94] [c91] [c90] [c89] [c85] [e7] [i94] [i89] [i88] [i82] [i81] [i76] [i73] [i70] [i69] [i67] [i48] [i47]
Aishwarya N. Reganti
aka: Aishwarya Naresh Reganti
aka: Aishwarya Naresh Reganti
William Scott 0001
aka: William Scott Paka
aka: William Scott Paka
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