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ORCIDMaunendra Sankar Desarkar
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Journal Articles
- 2024
[j11]Yogesh K. Dwivedi, Laurie Hughes, Harshad K. D. H. Bhadeshia, Sophia Ananiadou, Anthony G. Cohn, Jacqueline M. Cole, Gareth John Conduit, Maunendra Sankar Desarkar, Xinwei Wang:
Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop. Int. J. Inf. Manag. 76: 102725 (2024)- 2023
- [j10]Kaushal Kumar Maurya
, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal:
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes. Data Min. Knowl. Discov. 37(6): 2306-2329 (2023) - [j9]Arkadipta De, Maunendra Sankar Desarkar, Asif Ekbal:
Towards Improvement of Grounded Cross-lingual Natural Language Inference with VisioTextual Attention. Nat. Lang. Process. J. 4: 100023 (2023) - [j8]Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar:
Unsupervised Domain Adaptation With Global and Local Graph Neural Networks Under Limited Supervision and Its Application to Disaster Response. IEEE Trans. Comput. Soc. Syst. 10(2): 551-562 (2023) - 2022
- [j7]Sreekanth Madisetty, Maunendra Sankar Desarkar:
A reranking-based tweet retrieval approach for planned events. World Wide Web 25(1): 23-47 (2022) - 2021
- [j6]Sreekanth Madisetty, Kaushal Kumar Maurya, Akiko Aizawa, Maunendra Sankar Desarkar:
A neural approach for detecting inline mathematical expressions from scientific documents. Expert Syst. J. Knowl. Eng. 38(4) (2021) - 2020
- [j5]S. VenkataKeerthy, Rohit Aggarwal, Shalini Jain, Maunendra Sankar Desarkar, Ramakrishna Upadrasta, Y. N. Srikant:
IR2VEC: LLVM IR Based Scalable Program Embeddings. ACM Trans. Archit. Code Optim. 17(4): 32:1-32:27 (2020) - 2019
- [j4]Smita Roy, Samrat Mondal, Asif Ekbal, Maunendra Sankar Desarkar:
Dispersion Ratio based Decision Tree Model for Classification. Expert Syst. Appl. 116: 1-9 (2019) - 2018
- [j3]Sreekanth Madisetty, Maunendra Sankar Desarkar:
A Neural Network-Based Ensemble Approach for Spam Detection in Twitter. IEEE Trans. Comput. Soc. Syst. 5(4): 973-984 (2018) - 2016
- [j2]Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra:
Preference relations based unsupervised rank aggregation for metasearch. Expert Syst. Appl. 49: 86-98 (2016) - [j1]K. M. Vamsikrishna, Debi Prosad Dogra, Maunendra Sankar Desarkar:
Computer-Vision-Assisted Palm Rehabilitation With Supervised Learning. IEEE Trans. Biomed. Eng. 63(5): 991-1001 (2016)
Conference and Workshop Papers
- 2024
- [c56]Kaushal Maurya, Rahul Kejriwal, Maunendra Sankar Desarkar, Anoop Kunchukuttan:
CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages. EACL (2) 2024: 294-310 - [c55]Minal Nitin Dani, Maunendra Sankar Desarkar:
Detecting Attribute Information in Notice to Airman. NLDB (2) 2024: 195-206 - [c54]Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar:
DQAC: Detoxifying Query Auto-completion with Adapters. PAKDD (6) 2024: 108-120 - [c53]Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar:
Transformer based Multitask Learning for Image Captioning and Object Detection. PAKDD (2) 2024: 260-272 - [c52]Suvodip Dey, Maunendra Sankar Desarkar:
BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation. SIGDIAL 2024: 566-578 - [c51]Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar:
DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion. SIGIR 2024: 608-618 - 2023
- [c50]Venkatesh Elangovan, Kaushal Maurya, Deepak Kumar, Maunendra Sankar Desarkar:
DivHSK: Diverse Headline Generation using Self-Attention based Keyword Selection. ACL (Findings) 2023: 1879-1891 - [c49]Maharaj Brahma, Kaushal Maurya, Maunendra Sankar Desarkar:
SelectNoise: Unsupervised Noise Injection to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages. EMNLP (Findings) 2023: 1615-1629 - [c48]Sharan Narasimhan, Pooja H, Suvodip Dey, Maunendra Sankar Desarkar:
On Text Style Transfer via Style-Aware Masked Language Models. INLG 2023: 362-374 - [c47]Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar:
Time-to-Event Modeling with Hypernetwork based Hawkes Process. KDD 2023: 3956-3965 - [c46]Arkadipta De, Satya Swaroop Gudipudi, Sourab Panchanan, Maunendra Sankar Desarkar:
ComplAI: Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models. SAC 2023: 1096-1099 - [c45]Suvodip Dey, Maunendra Sankar Desarkar:
Dial-M: A Masking-based Framework for Dialogue Evaluation. SIGDIAL 2023: 77-84 - 2022
- [c44]Kaushal Kumar Maurya, Maunendra Sankar Desarkar:
Meta-XNLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation. ACL (Findings) 2022: 269-284 - [c43]Suvodip Dey, Ramamohan Kummara, Maunendra Sankar Desarkar:
Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances. ACL (2) 2022: 318-324 - [c42]Sahil Yerawar, Sagar Jinde, P. K. Srijith, Maunendra Sankar Desarkar, K. M. Annervaz, Shubhashis Sengupta:
Predicting Reputation Score of Users in Stack-overflow with Alternate Data. KDIR 2022: 355-362 - [c41]Sharan Narasimhan, Suvodip Dey, Maunendra Sankar Desarkar:
Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer. NAACL-HLT 2022: 456-474 - [c40]Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar:
Effective utilization of labeled data from related tasks using graph contrastive pretraining: application to disaster related text classification. SAC 2022: 875-878 - [c39]Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar:
GNoM: Graph Neural Network Enhanced Language Models for Disaster Related Multilingual Text Classification. WebSci 2022: 55-65 - [c38]Aditi Bagora, Kamal Shrestha, Kaushal Maurya, Maunendra Sankar Desarkar:
Hostility Detection in Online Hindi-English Code-Mixed Conversations. WebSci 2022: 390-400 - [c37]Arkadipta De, Maunendra Sankar Desarkar:
Multi-Context Based Neural Approach for COVID-19 Fake-News Detection. WWW (Companion Volume) 2022: 852-859 - 2021
- [c36]Arkadipta De, Venkatesh Elangovan, Kaushal Kumar Maurya, Maunendra Sankar Desarkar:
Coarse and Fine-Grained Hostility Detection in Hindi Posts Using Fine Tuned Multilingual Embeddings. CONSTRAINT@AAAI 2021: 201-212 - [c35]Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Yoshinobu Kano, Kumari Deepshikha:
ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation. ACL/IJCNLP (Findings) 2021: 2804-2818 - [c34]Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar:
Multi-view hypergraph convolution network for semantic annotation in LBSNs. ASONAM 2021: 219-227 - [c33]Priyambada Ambastha, Maunendra Sankar Desarkar:
mTransDial: Multilingual Dataset for Transport Domain Dialog Systems (Poster). COMPASS 2021: 462 - [c32]Sreekanth Madisetty, Maunendra Sankar Desarkar:
Social Media Popularity Prediction of Planned Events Using Deep Learning. ECIR (2) 2021: 320-326 - [c31]Suvodip Dey, Maunendra Sankar Desarkar:
Hi-DST: A Hierarchical Approach for Scalable and Extensible Dialogue State Tracking. SIGDIAL 2021: 218-227 - 2020
- [c30]Kaushal Kumar Maurya, Maunendra Sankar Desarkar:
Learning to Distract: A Hierarchical Multi-Decoder Network for Automated Generation of Long Distractors for Multiple-Choice Questions for Reading Comprehension. CIKM 2020: 1115-1124 - [c29]Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar:
HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. SIGSPATIAL/GIS 2020: 377-380 - [c28]Priyambada Ambastha, Maunendra Sankar Desarkar:
Incident Detection From Social Media Targeting Indian Traffic Scenario Using Transfer Learning. ITSC 2020: 1-6 - [c27]Samujjwal Ghosh, Maunendra Sankar Desarkar:
Semi-Supervised Granular Classification Framework for Resource Constrained Short-texts: Towards Retrieving Situational Information During Disaster Events. WebSci 2020: 29-38 - 2019
- [c26]Abhishek A. Patwardhan, Santanu Das, Sakshi Varshney, Maunendra Sankar Desarkar, Debi Prosad Dogra:
ViTag: Automatic Video Tagging Using Segmentation and Conceptual Inference. BigMM 2019: 271-276 - [c25]Uddipta Bhattacharjee, Srijith P. K, Maunendra Sankar Desarkar:
Term Specific TF-IDF Boosting for Detection of Rumours in Social Networks. COMSNETS 2019: 726-731 - [c24]Uddipta Bhattacharjee, P. K. Srijith, Maunendra Sankar Desarkar:
Leveraging Social Media Towards Understanding Anti-Vaccination Campaigns. COMSNETS 2019: 886-890 - [c23]Swapnil Dewalkar, Maunendra Sankar Desarkar:
Multi-Context Information for Word Representation Learning. DocEng 2019: 21:1-21:4 - 2018
- [c22]Shamik Kundu, P. K. Srijith, Maunendra Sankar Desarkar:
Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach. ASONAM 2018: 790-793 - [c21]Sreekanth Madisetty, Maunendra Sankar Desarkar:
Aggression Detection in Social Media using Deep Neural Networks. TRAC@COLING 2018 2018: 120-127 - [c20]Himank Gupta, Mohd. Saalim Jamal, Sreekanth Madisetty, Maunendra Sankar Desarkar:
A framework for real-time spam detection in Twitter. COMSNETS 2018: 380-383 - [c19]Rohan Tondulkar, Manisha Dubey, Maunendra Sankar Desarkar:
Get me the best: predicting best answerers in community question answering sites. RecSys 2018: 251-259 - [c18]Priyanka Choudhary, Maunendra Sankar Desarkar:
PReFacTO: Preference Relations Based Factor Model with Topic Awareness and Offset. eCOM@SIGIR 2018 - [c17]Rashmi Hti, Maunendra Sankar Desarkar:
Personalized Tourist Package Recommendation using Graph Based Approach. UMAP (Adjunct Publication) 2018: 257-262 - [c16]Samujjwal Ghosh, Maunendra Sankar Desarkar:
Class Specific TF-IDF Boosting for Short-text Classification: Application to Short-texts Generated During Disasters. WWW (Companion Volume) 2018: 1629-1637 - 2017
- [c15]Sreekanth Madisetty, Maunendra Sankar Desarkar:
IITH at CLEF 2017: Finding Relevant Tweets for Cultural Events. CLEF (Working Notes) 2017 - [c14]Sreekanth Madisetty, Maunendra Sankar Desarkar:
Identification of Relevant Hashtags for Planned Events Using Learning to Rank. IC3K 2017: 82-99 - [c13]Sreekanth Madisetty, Maunendra Sankar Desarkar:
Exploiting Meta Attributes for Identifying Event Related Hashtags. KDIR 2017: 238-245 - [c12]Sreekanth Madisetty, Maunendra Sankar Desarkar:
An Ensemble Based Method for Predicting Emotion Intensity of Tweets. MIKE 2017: 359-370 - [c11]Sreekanth Madisetty, Maunendra Sankar Desarkar:
NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in Tweets. WASSA@EMNLP 2017: 219-224 - 2016
- [c10]Smita Roy, Samrat Mondal, Asif Ekbal, Maunendra Sankar Desarkar:
CRDT: Correlation Ratio Based Decision Tree Model for Healthcare Data Mining. BIBE 2016: 36-43 - 2014
- [c9]Maunendra Sankar Desarkar, Neha Shinde:
Diversification in news recommendation for privacy concerned users. DSAA 2014: 135-141 - [c8]Sanjay Chatterji, G. S. Sreedhara, Maunendra Sankar Desarkar:
An Efficient Tool for Syntactic Processing of English Query Text. MIKE 2014: 278-287 - 2013
- [c7]Maunendra Sankar Desarkar, Sandip Bhaumik, Sailesh K. Sathish, Satnam Singh, Ranga V. Narayanan:
Med-Tree: A user knowledge graph framework for medical applications. BIBE 2013: 1-4 - 2012
- [c6]Maunendra Sankar Desarkar, Sudeshna Sarkar:
User based Collaborative Filtering with Temporal Information for Purchase Data. KDIR 2012: 55-64 - [c5]Abir De, Maunendra Sankar Desarkar, Niloy Ganguly, Pabitra Mitra:
Local learning of item dissimilarity using content and link structure. RecSys 2012: 221-224 - [c4]Maunendra Sankar Desarkar, Sudeshna Sarkar:
Rating prediction using preference relations based matrix factorization. UMAP Workshops 2012 - [c3]Maunendra Sankar Desarkar, Roopam Saxena, Sudeshna Sarkar:
Preference Relation Based Matrix Factorization for Recommender Systems. UMAP 2012: 63-75 - 2011
- [c2]Maunendra Sankar Desarkar, Rahul Joshi, Sudeshna Sarkar:
Displacement Based Unsupervised Metric for Evaluating Rank Aggregation. PReMI 2011: 268-273 - 2010
- [c1]Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra:
Aggregating preference graphs for collaborative rating prediction. RecSys 2010: 21-28
Informal and Other Publications
- 2024
- [i18]Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar:
Transformer based Multitask Learning for Image Captioning and Object Detection. CoRR abs/2403.06292 (2024) - 2023
- [i17]Kaushal Kumar Maurya, Rahul Kejriwal, Maunendra Sankar Desarkar, Anoop Kunchukuttan:
Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages. CoRR abs/2305.05214 (2023) - [i16]Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal:
Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes. CoRR abs/2307.15455 (2023) - 2022
- [i15]Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar:
Graph Neural Network Enhanced Language Models for Efficient Multilingual Text Classification. CoRR abs/2203.02912 (2022) - [i14]Kaushal Kumar Maurya, Maunendra Sankar Desarkar:
Meta-XNLG: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation. CoRR abs/2203.10250 (2022) - [i13]Suvodip Dey, Ramamohan Kummara, Maunendra Sankar Desarkar:
Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances. CoRR abs/2204.03375 (2022) - [i12]Sharan Narasimhan, Suvodip Dey, Maunendra Sankar Desarkar:
Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer. CoRR abs/2205.02309 (2022) - [i11]Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar:
HyperHawkes: Hypernetwork based Neural Temporal Point Process. CoRR abs/2210.00213 (2022) - [i10]Suvodip Dey, Maunendra Sankar Desarkar, P. K. Srijith:
Towards Generalized and Explainable Long-Range Context Representation for Dialogue Systems. CoRR abs/2210.06282 (2022) - [i9]Sharan Narasimhan, Pooja Shekar, Suvodip Dey, Maunendra Sankar Desarkar:
On Text Style Transfer via Style Masked Language Models. CoRR abs/2210.06394 (2022) - [i8]Arkadipta De, Satya Swaroop Gudipudi, Sourab Panchanan, Maunendra Sankar Desarkar:
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models. CoRR abs/2212.14599 (2022) - 2021
- [i7]Arkadipta De, Venkatesh Elangovan, Kaushal Kumar Maurya, Maunendra Sankar Desarkar:
Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings. CoRR abs/2101.04998 (2021) - [i6]Chander Shekhar, Bhavya Bagla, Kaushal Kumar Maurya, Maunendra Sankar Desarkar:
Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts. CoRR abs/2101.06004 (2021) - [i5]Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar:
Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management. CoRR abs/2104.01436 (2021) - [i4]Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Yoshinobu Kano, Kumari Deepshikha:
ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation. CoRR abs/2106.01597 (2021) - [i3]Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar:
Supervised Graph Contrastive Pretraining for Text Classification. CoRR abs/2112.11389 (2021) - 2020
- [i2]Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar:
HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process. CoRR abs/2009.02548 (2020) - 2019
- [i1]Venkata Keerthy S, Rohit Aggarwal, Shalini Jain, Maunendra Sankar Desarkar, Ramakrishna Upadrasta, Y. N. Srikant:
IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings. CoRR abs/1909.06228 (2019)
Coauthor Index
Kaushal Kumar Maurya
aka: Kaushal Maurya
aka: Kaushal Maurya
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last updated on 2024-10-07 22:17 CEST by the dblp team
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