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Soujanya Poria
Person information
- affiliation: Singapore University of Technology and Design, Singapore
- affiliation (2017 - 2019): Nanyang Technological University, Singapore
- affiliation (PhD 2017): University of Stirling, UK
- affiliation: Jadavpur University, Kolkata, India
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2020 – today
- 2025
- [j49]Jing Wang, Raymon Tsao, Xuan Wang, Xiaojie Wang, Fangxiang Feng, Shiyu Tian, Soujanya Poria:
Action-guided prompt tuning for video grounding. Inf. Fusion 113: 102577 (2025) - 2024
- [j48]Ankita Gandhi, Param Ahir, Kinjal Adhvaryu, Pooja Shah, Ritika Lohiya, Erik Cambria, Soujanya Poria, Amir Hussain:
Hate speech detection: A comprehensive review of recent works. Expert Syst. J. Knowl. Eng. 41(8) (2024) - [j47]Jaeyong Kang, Soujanya Poria, Dorien Herremans:
Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model. Expert Syst. Appl. 249: 123640 (2024) - [c111]Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria:
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. ACL (Findings) 2024: 13545-13565 - [c110]Rishabh Bhardwaj, Do Duc Anh, Soujanya Poria:
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic. ACL (1) 2024: 14138-14149 - [c109]Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria:
Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models. ACL (Findings) 2024: 16227-16239 - [c108]Yew Ken Chia, Vernon Toh, Deepanway Ghosal, Lidong Bing, Soujanya Poria:
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. ACL (Findings) 2024: 16259-16273 - [c107]Yingting Li, Rishabh Bhardwaj, Ambuj Mehrish, Bo Cheng, Soujanya Poria:
HYPERTTS: Parameter Efficient Adaptation in Text to Speech Using Hypernetworks. LREC/COLING 2024: 8516-8527 - [c106]Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria:
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond. EACL (1) 2024: 1738-1751 - [c105]Yew Ken Chia, Guizhen Chen, Weiwen Xu, Anh Tuan Luu, Soujanya Poria, Lidong Bing:
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. EMNLP (Findings) 2024: 16763-16780 - [c104]Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria:
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations. EMNLP 2024: 21759-21776 - [c103]Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing:
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources. ICLR 2024 - [c102]Navonil Majumder, Chia-Yu Hung, Deepanway Ghosal, Wei-Ning Hsu, Rada Mihalcea, Soujanya Poria:
Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization. ACM Multimedia 2024: 564-572 - [c101]Meng Luo, Hao Fei, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu:
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis. ACM Multimedia 2024: 7667-7676 - [c100]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models. NAACL-HLT (Findings) 2024: 2522-2534 - [c99]Xiang Li, FanBu FanBu, Ambuj Mehrish, Yingting Li, Jiale Han, Bo Cheng, Soujanya Poria:
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models. NAACL-HLT (Findings) 2024: 3777-3794 - [c98]Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea:
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. NAACL-HLT 2024: 5668-5680 - [c97]Jan Melechovský, Zixun Guo, Deepanway Ghosal, Navonil Majumder, Dorien Herremans, Soujanya Poria:
Mustango: Toward Controllable Text-to-Music Generation. NAACL-HLT 2024: 8293-8316 - [c96]Soujanya Poria:
Understanding, Leveraging, and Improving Large Language Models. WWW (Companion Volume) 2024: 1805 - [c95]Qi Sun, Kun Huang, Xiaocui Yang, Rong Tong, Kun Zhang, Soujanya Poria:
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction. WWW 2024: 4407-4416 - [i120]Pengfei Hong, Deepanway Ghosal, Navonil Majumder, Somak Aditya, Rada Mihalcea, Soujanya Poria:
Stuck in the Quicksand of Numeracy, Far from AGI Summit: Evaluating LLMs' Mathematical Competency through Ontology-guided Perturbations. CoRR abs/2401.09395 (2024) - [i119]Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria:
Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models. CoRR abs/2401.10647 (2024) - [i118]Qi Sun, Kun Huang, Xiaocui Yang, Rong Tong, Kun Zhang, Soujanya Poria:
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction. CoRR abs/2401.13598 (2024) - [i117]Xianbing Zhao, Soujanya Poria, Xuejiao Li, Yixin Chen, Buzhou Tang:
Toward Robust Multimodal Learning using Multimodal Foundational Models. CoRR abs/2401.13697 (2024) - [i116]Rishabh Bhardwaj, Do Duc Anh, Soujanya Poria:
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic. CoRR abs/2402.11746 (2024) - [i115]Wei Han, Hui Chen, Soujanya Poria:
INSTRAUG: Automatic Instruction Augmentation for Multimodal Instruction Fine-tuning. CoRR abs/2402.14492 (2024) - [i114]Deepanway Ghosal, Vernon Toh Yan Han, Yew Ken Chia, Soujanya Poria:
Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning. CoRR abs/2403.03864 (2024) - [i113]Yew Ken Chia, Vernon Toh Yan Han, Deepanway Ghosal, Lidong Bing, Soujanya Poria:
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. CoRR abs/2403.13315 (2024) - [i112]Xiang Li, Fan Bu, Ambuj Mehrish, Yingting Li, Jiale Han, Bo Cheng, Soujanya Poria:
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models. CoRR abs/2404.00569 (2024) - [i111]Yingting Li, Rishabh Bhardwaj, Ambuj Mehrish, Bo Cheng, Soujanya Poria:
HyperTTS: Parameter Efficient Adaptation in Text to Speech using Hypernetworks. CoRR abs/2404.04645 (2024) - [i110]Navonil Majumder, Chia-Yu Hung, Deepanway Ghosal, Wei-Ning Hsu, Rada Mihalcea, Soujanya Poria:
Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization. CoRR abs/2404.09956 (2024) - [i109]Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea:
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. CoRR abs/2405.04655 (2024) - [i108]Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee:
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. CoRR abs/2405.06701 (2024) - [i107]Xiaocui Yang, Wenfang Wu, Shi Feng, Ming Wang, Daling Wang, Yang Li, Qi Sun, Yifei Zhang, Xiaoming Fu, Soujanya Poria:
MM-InstructEval: Zero-Shot Evaluation of (Multimodal) Large Language Models on Multimodal Reasoning Tasks. CoRR abs/2405.07229 (2024) - [i106]Pala Tej Deep, Rishabh Bhardwaj, Soujanya Poria:
DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling. CoRR abs/2406.11617 (2024) - [i105]Vernon Toh Yan Han, Rishabh Bhardwaj, Soujanya Poria:
Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming. CoRR abs/2406.11654 (2024) - [i104]Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria:
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations. CoRR abs/2406.11801 (2024) - [i103]Chia-Yu Hung, Navonil Majumder, Ambuj Mehrish, Soujanya Poria:
Reward Steering with Evolutionary Heuristics for Decoding-time Alignment. CoRR abs/2406.15193 (2024) - [i102]Zhifeng Kong, Sang-gil Lee, Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, Rafael Valle, Soujanya Poria, Bryan Catanzaro:
Improving Text-To-Audio Models with Synthetic Captions. CoRR abs/2406.15487 (2024) - [i101]Yingting Li, Ambuj Mehrish, Bryan Chew, Bo Cheng, Soujanya Poria:
Leveraging Parameter-Efficient Transfer Learning for Multi-Lingual Text-to-Speech Adaptation. CoRR abs/2406.17257 (2024) - [i100]Prannaya Gupta, Le Qi Yau, Hao Han Low, I-Shiang Lee, Hugo Maximus Lim, Yu Xin Teoh, Jia Hng Koh, Dar Win Liew, Rishabh Bhardwaj, Rajat Bhardwaj, Soujanya Poria:
WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models. CoRR abs/2408.03837 (2024) - [i99]Meng Luo, Hao Fei, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu:
PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis. CoRR abs/2408.09481 (2024) - [i98]Pala Tej Deep, Vernon Toh Yan Han, Rishabh Bhardwaj, Soujanya Poria:
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique. CoRR abs/2408.10701 (2024) - [i97]Maojia Song, Shang Hong Sim, Rishabh Bhardwaj, Hai Leong Chieu, Navonil Majumder, Soujanya Poria:
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse. CoRR abs/2409.11242 (2024) - [i96]Yew Ken Chia, Qi Sun, Lidong Bing, Soujanya Poria:
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models. CoRR abs/2409.14277 (2024) - [i95]Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou:
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. CoRR abs/2410.07076 (2024) - [i94]Yew Ken Chia, Guizhen Chen, Weiwen Xu, Luu Anh Tuan, Soujanya Poria, Lidong Bing:
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. CoRR abs/2410.10858 (2024) - [i93]Vernon Toh Yan Han, Deepanway Ghosal, Soujanya Poria:
Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning. CoRR abs/2410.12608 (2024) - [i92]Rada Mihalcea, Oana Ignat, Longju Bai, Angana Borah, Luis Chiruzzo, Zhijing Jin, Claude Kwizera, Joan Nwatu, Soujanya Poria, Thamar Solorio:
Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone. CoRR abs/2410.16315 (2024) - [i91]Wei Han, Pan Zhou, Soujanya Poria, Shuicheng Yan:
Two are better than one: Context window extension with multi-grained self-injection. CoRR abs/2410.19318 (2024) - 2023
- [j46]Hui Chen, Pengfei Hong, Wei Han, Navonil Majumder, Soujanya Poria:
Dialogue Relation Extraction with Document-Level Heterogeneous Graph Attention Networks. Cogn. Comput. 15(2): 793-802 (2023) - [j45]Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder, Amir Hussain, Lotfollah Najjar, Newton Howard, Soujanya Poria, Alexander F. Gelbukh:
WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs. Inf. Fusion 90: 265-282 (2023) - [j44]Ankita Gandhi, Kinjal Adhvaryu, Soujanya Poria, Erik Cambria, Amir Hussain:
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions. Inf. Fusion 91: 424-444 (2023) - [j43]Ambuj Mehrish, Navonil Majumder, Rishabh Bharadwaj, Rada Mihalcea, Soujanya Poria:
A review of deep learning techniques for speech processing. Inf. Fusion 99: 101869 (2023) - [j42]Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea:
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research. IEEE Trans. Affect. Comput. 14(1): 108-132 (2023) - [c94]Pengfei Hong, Rishabh Bhardwaj, Navonil Majumder, Somak Aditya, Soujanya Poria:
A Robust Information-Masking Approach for Domain Counterfactual Generation. ACL (Findings) 2023: 3756-3769 - [c93]Xiaocui Yang, Shi Feng, Daling Wang, Qi Sun, Wenfang Wu, Yifei Zhang, Pengfei Hong, Soujanya Poria:
Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt. ACL (Findings) 2023: 11575-11589 - [c92]Qi Sun, Kun Huang, Xiaocui Yang, Pengfei Hong, Kun Zhang, Soujanya Poria:
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction. ACL (1) 2023: 15960-15973 - [c91]Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee:
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. EACL (Findings) 2023: 1441-1454 - [c90]Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, Soujanya Poria:
UDAPTER - Efficient Domain Adaptation Using Adapters. EACL 2023: 2241-2255 - [c89]Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria:
Adapter Pruning using Tropical Characterization. EMNLP (Findings) 2023: 1699-1706 - [c88]Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee:
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. EMNLP 2023: 5254-5276 - [c87]Deepanway Ghosal, Navonil Majumder, Roy Ka-Wei Lee, Rada Mihalcea, Soujanya Poria:
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts. EMNLP (Findings) 2023: 12096-12102 - [c86]Rishabh Bhardwaj, Yingting Li, Navonil Majumder, Bo Cheng, Soujanya Poria:
kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers. EMNLP (Findings) 2023: 13546-13557 - [c85]Yingting Li, Ambuj Mehrish, Rishabh Bhardwaj, Navonil Majumder, Bo Cheng, Shuai Zhao, Amir Zadeh, Rada Mihalcea, Soujanya Poria:
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding. ICASSP 2023: 1-5 - [c84]Xiaocui Yang, Shi Feng, Daling Wang, Pengfei Hong, Soujanya Poria:
Multiple Contrastive Learning for Multimodal Sentiment Analysis. ICASSP 2023: 1-5 - [c83]Yi Xuan Tan, Navonil Majumder, Soujanya Poria:
Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding. INTERSPEECH 2023: 3914-3918 - [c82]Ambuj Mehrish, Abhinav Ramesh Kashyap, Yingting Li, Navonil Majumder, Soujanya Poria:
ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation. INTERSPEECH 2023: 4284-4288 - [c81]Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, Soujanya Poria:
Text-to-Audio Generation using Instruction Guided Latent Diffusion Model. ACM Multimedia 2023: 3590-3598 - [c80]Xiaocui Yang, Shi Feng, Daling Wang, Yifei Zhang, Soujanya Poria:
Few-shot Multimodal Sentiment Analysis Based on Multimodal Probabilistic Fusion Prompts. ACM Multimedia 2023: 6045-6053 - [i90]Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, Soujanya Poria:
UDApter - Efficient Domain Adaptation Using Adapters. CoRR abs/2302.03194 (2023) - [i89]Yingting Li, Ambuj Mehrish, Shuai Zhao, Rishabh Bhardwaj, Amir Zadeh, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding. CoRR abs/2303.03267 (2023) - [i88]Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, Soujanya Poria:
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. CoRR abs/2304.01933 (2023) - [i87]Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, Soujanya Poria:
Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model. CoRR abs/2304.13731 (2023) - [i86]Pengfei Hong, Rishabh Bhardwaj, Navonil Majumder, Somak Aditya, Soujanya Poria:
ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation. CoRR abs/2305.02858 (2023) - [i85]Xiaocui Yang, Shi Feng, Daling Wang, Sun Qi, Wenfang Wu, Yifei Zhang, Pengfei Hong, Soujanya Poria:
Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt. CoRR abs/2305.10169 (2023) - [i84]Qi Sun, Kun Huang, Xiaocui Yang, Pengfei Hong, Kun Zhang, Soujanya Poria:
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction. CoRR abs/2305.11029 (2023) - [i83]Yi Xuan Tan, Navonil Majumder, Soujanya Poria:
Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding. CoRR abs/2305.12301 (2023) - [i82]Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria:
Beyond Words: A Comprehensive Survey of Sentence Representations. CoRR abs/2305.12641 (2023) - [i81]Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Soujanya Poria:
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases. CoRR abs/2305.13269 (2023) - [i80]Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing:
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction. CoRR abs/2305.14434 (2023) - [i79]Ambuj Mehrish, Abhinav Ramesh Kashyap, Yingting Li, Navonil Majumder, Soujanya Poria:
ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation. CoRR abs/2305.18028 (2023) - [i78]Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria:
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models. CoRR abs/2306.04757 (2023) - [i77]Deepanway Ghosal, Yew Ken Chia, Navonil Majumder, Soujanya Poria:
Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning. CoRR abs/2307.02053 (2023) - [i76]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
SAS Video-QA: Self-Adaptive Sampling for Efficient Video Question-Answering. CoRR abs/2307.04192 (2023) - [i75]Rishabh Bhardwaj, Soujanya Poria:
Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment. CoRR abs/2308.09662 (2023) - [i74]Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria:
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. CoRR abs/2309.02726 (2023) - [i73]Xiaocui Yang, Wenfang Wu, Shi Feng, Ming Wang, Daling Wang, Yang Li, Qi Sun, Yifei Zhang, Xiaoming Fu, Soujanya Poria:
MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension Tasks. CoRR abs/2310.09036 (2023) - [i72]Rishabh Bhardwaj, Soujanya Poria:
Language Model Unalignment: Parametric Red-Teaming to Expose Hidden Harms and Biases. CoRR abs/2310.14303 (2023) - [i71]Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria:
Adapter Pruning using Tropical Characterization. CoRR abs/2310.19232 (2023) - [i70]Deepanway Ghosal, Navonil Majumder, Roy Ka-Wei Lee, Rada Mihalcea, Soujanya Poria:
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts. CoRR abs/2310.20159 (2023) - [i69]Jaeyong Kang, Soujanya Poria, Dorien Herremans:
Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model. CoRR abs/2311.00968 (2023) - [i68]Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, Soujanya Poria, Lidong Bing:
Contrastive Chain-of-Thought Prompting. CoRR abs/2311.09277 (2023) - 2022
- [j41]Navonil Majumder, Deepanway Ghosal, Devamanyu Hazarika, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria:
Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication. IEEE Access 10: 77176-77190 (2022) - [j40]Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Improving Zero-Shot Learning Baselines with Commonsense Knowledge. Cogn. Comput. 14(6): 2212-2222 (2022) - [j39]Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh:
Multimodal research in vision and language: A review of current and emerging trends. Inf. Fusion 77: 149-171 (2022) - [j38]Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria:
Towards solving NLP tasks with optimal transport loss. J. King Saud Univ. Comput. Inf. Sci. 34(10, Part B): 10434-10443 (2022) - [j37]Navonil Majumder, Rishabh Bhardwaj, Soujanya Poria, Alexander F. Gelbukh, Amir Hussain:
Improving aspect-level sentiment analysis with aspect extraction. Neural Comput. Appl. 34(11): 8333-8343 (2022) - [c79]Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si:
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. ACL (Findings) 2022: 45-57 - [c78]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria:
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. ACL (1) 2022: 416-431 - [c77]Siqi Shen, Verónica Pérez-Rosas, Charles Welch, Soujanya Poria, Rada Mihalcea:
Knowledge Enhanced Reflection Generation for Counseling Dialogues. ACL (1) 2022: 3096-3107 - [c76]Deepanway Ghosal, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues. ACL (1) 2022: 5010-5028 - [c75]Hui Chen, Wei Han, Diyi Yang, Soujanya Poria:
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification. COLING 2022: 4622-4632 - [c74]Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria:
KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks. COLING 2022: 4801-4820 - [c73]Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing:
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. COLING 2022: 5666-5677 - [c72]Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan:
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection. ECCV (35) 2022: 405-421 - [c71]Hui Chen, Wei Han, Soujanya Poria:
SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training. EMNLP (Findings) 2022: 6141-6146 - [c70]Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi, Soujanya Poria:
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. EMNLP 2022: 6776-6791 - [c69]Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria:
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. EMNLP 2022: 10114-10133 - [c68]Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering. EMNLP 2022: 10158-10166 - [c67]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. EMNLP 2022: 10498-10511 - [c66]Devamanyu Hazarika, Yingting Li, Bo Cheng, Shuai Zhao, Roger Zimmermann, Soujanya Poria:
Analyzing Modality Robustness in Multimodal Sentiment Analysis. NAACL-HLT 2022: 685-696 - [e4]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-65-0 [contents] - [e3]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 2: Short Papers, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-64-3 [contents] - [e2]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-04-3 [contents] - [i67]Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si:
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. CoRR abs/2203.09101 (2022) - [i66]Deepanway Ghosal, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues. CoRR abs/2203.13926 (2022) - [i65]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria:
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. CoRR abs/2205.04093 (2022) - [i64]Devamanyu Hazarika, Yingting Li, Bo Cheng, Shuai Zhao, Roger Zimmermann, Soujanya Poria:
Analyzing Modality Robustness in Multimodal Sentiment Analysis. CoRR abs/2205.15465 (2022) - [i63]Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing:
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. CoRR abs/2209.05040 (2022) - [i62]Hui Chen, Wei Han, Diyi Yang, Soujanya Poria:
DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification. CoRR abs/2209.05297 (2022) - [i61]Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder, Amir Hussain, Lotfollah Najjar, Newton Howard, Soujanya Poria, Alexander F. Gelbukh:
WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs. CoRR abs/2209.13101 (2022) - [i60]Siqi Shen, Deepanway Ghosal, Navonil Majumder, Henry Lim, Rada Mihalcea, Soujanya Poria:
Multiview Contextual Commonsense Inference: A New Dataset and Task. CoRR abs/2210.02890 (2022) - [i59]Hui Chen, Wei Han, Soujanya Poria:
SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training. CoRR abs/2210.12653 (2022) - [i58]Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria:
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. CoRR abs/2210.12798 (2022) - [i57]Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering. CoRR abs/2210.16495 (2022) - [i56]Xiaocui Yang, Shi Feng, Daling Wang, Pengfei Hong, Soujanya Poria:
Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts. CoRR abs/2211.06607 (2022) - [i55]Yew Ken Chia, Lidong Bing, Sharifah Aljunied Mahani, Luo Si, Soujanya Poria:
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. CoRR abs/2211.10018 (2022) - 2021
- [j36]Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing:
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13(2): 229-230 (2021) - [j35]Abhinaba Roy, Biplab Banerjee, Amir Hussain, Soujanya Poria:
Discriminative Dictionary Design for Action Classification in Still Images and Videos. Cogn. Comput. 13(3): 698-708 (2021) - [j34]Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria:
Investigating Gender Bias in BERT. Cogn. Comput. 13(4): 1008-1018 (2021) - [j33]Tapas Nayak, Navonil Majumder, Pawan Goyal, Soujanya Poria:
Deep Neural Approaches to Relation Triplets Extraction: a Comprehensive Survey. Cogn. Comput. 13(5): 1215-1232 (2021) - [j32]Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander F. Gelbukh, Rada Mihalcea:
Recognizing Emotion Cause in Conversations. Cogn. Comput. 13(5): 1317-1332 (2021) - [j31]Hui Chen, Deepanway Ghosal, Navonil Majumder, Amir Hussain, Soujanya Poria:
Persuasive dialogue understanding: The baselines and negative results. Neurocomputing 431: 47-56 (2021) - [j30]Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea:
Conversational transfer learning for emotion recognition. Inf. Fusion 65: 1-12 (2021) - [j29]Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria:
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning. Inf. Fusion 70: 88-99 (2021) - [j28]Amir Hussain, Erik Cambria, Soujanya Poria, Ahmad Y. A. Hawalah, Francisco Herrera:
Information fusion for affective computing and sentiment analysis. Inf. Fusion 71: 97-98 (2021) - [c65]Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria, Eduard H. Hovy:
More Identifiable yet Equally Performant Transformers for Text Classification. ACL/IJCNLP (1) 2021: 1172-1182 - [c64]Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study. ACL/IJCNLP (Findings) 2021: 1435-1449 - [c63]Samson Yu Bai Jian, Tapas Nayak, Navonil Majumder, Soujanya Poria:
Aspect Sentiment Triplet Extraction Using Reinforcement Learning. CIKM 2021: 3603-3607 - [c62]Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
STaCK: Sentence Ordering with Temporal Commonsense Knowledge. EMNLP (1) 2021: 8676-8686 - [c61]Wei Han, Hui Chen, Soujanya Poria:
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis. EMNLP (1) 2021: 9180-9192 - [c60]Wei Han, Hui Chen, Alexander F. Gelbukh, Amir Zadeh, Louis-Philippe Morency, Soujanya Poria:
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis. ICMI 2021: 6-15 - [c59]Dushyant Singh Chauhan, Gopendra Vikram Singh, Navonil Majumder, Amir Zadeh, Asif Ekbal, Pushpak Bhattacharyya, Louis-Philippe Morency, Soujanya Poria:
M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations. ICMI 2021: 773-777 - [c58]Jianing Yang, Yongxin Wang, Ruitao Yi, Yuying Zhu, Azaan Rehman, Amir Zadeh, Soujanya Poria, Louis-Philippe Morency:
MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences. NAACL-HLT 2021: 1009-1021 - [c57]Tapas Nayak, Navonil Majumder, Soujanya Poria:
Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering. RANLP 2021: 1031-1039 - [c56]Deepanway Ghosal, Pengfei Hong, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
CIDER: Commonsense Inference for Dialogue Explanation and Reasoning. SIGDIAL 2021: 301-313 - [c55]Hoang Van Nguyen, Francesco Gelli, Soujanya Poria:
DOZEN: Cross-Domain Zero Shot Named Entity Recognition with Knowledge Graph. SIGIR 2021: 1642-1646 - [i54]Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua:
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering. CoRR abs/2101.00774 (2021) - [i53]Tapas Nayak, Navonil Majumder, Pawan Goyal, Soujanya Poria:
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey. CoRR abs/2103.16929 (2021) - [i52]Deepanway Ghosal, Pengfei Hong, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
CIDER: Commonsense Inference for Dialogue Explanation and Reasoning. CoRR abs/2106.00510 (2021) - [i51]Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria, Eduard H. Hovy:
More Identifiable yet Equally Performant Transformers for Text Classification. CoRR abs/2106.01269 (2021) - [i50]Navonil Majumder, Deepanway Ghosal, Devamanyu Hazarika, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria:
Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication. CoRR abs/2106.11791 (2021) - [i49]Wei Han, Hui Chen, Alexander F. Gelbukh, Amir Zadeh, Louis-Philippe Morency, Soujanya Poria:
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis. CoRR abs/2107.13669 (2021) - [i48]Dushyant Singh Chauhan, Gopendra Vikram Singh, Navonil Majumder, Amir Zadeh, Asif Ekbal, Pushpak Bhattacharyya, Louis-Philippe Morency, Soujanya Poria:
M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations. CoRR abs/2108.01260 (2021) - [i47]Samson Yu Bai Jian, Tapas Nayak, Navonil Majumder, Soujanya Poria:
Aspect Sentiment Triplet Extraction Using Reinforcement Learning. CoRR abs/2108.06107 (2021) - [i46]Tapas Nayak, Navonil Majumder, Soujanya Poria:
Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering. CoRR abs/2108.09689 (2021) - [i45]Wei Han, Hui Chen, Soujanya Poria:
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis. CoRR abs/2109.00412 (2021) - [i44]Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
STaCK: Sentence Ordering with Temporal Commonsense Knowledge. CoRR abs/2109.02247 (2021) - [i43]Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan:
PIP: Physical Interaction Prediction via Mental Imagery with Span Selection. CoRR abs/2109.04683 (2021) - [i42]Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria:
Federated Distillation of Natural Language Understanding with Confident Sinkhorns. CoRR abs/2110.02432 (2021) - 2020
- [j27]Tom Young, Vlad Pandelea, Soujanya Poria, Erik Cambria:
Dialogue systems with audio context. Neurocomputing 388: 102-109 (2020) - [j26]Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu:
Anaphora and coreference resolution: A review. Inf. Fusion 59: 139-162 (2020) - [j25]Frank Z. Xing, Soujanya Poria, Erik Cambria, Roy E. Welsch:
Social Media Marketing and Financial Forecasting. Inf. Process. Manag. 57(5): 102314 (2020) - [c54]Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis. ACL 2020: 3198-3210 - [c53]Erik Cambria, Yang Li, Frank Z. Xing, Soujanya Poria, Kenneth Kwok:
SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis. CIKM 2020: 105-114 - [c52]AmirAli Bagher Zadeh, Yansheng Cao, Smon Hessner, Paul Pu Liang, Soujanya Poria, Louis-Philippe Morency:
CMU-MOSEAS: A Multimodal Language Dataset for Spanish, Portuguese, German and French. EMNLP (1) 2020: 1801-1812 - [c51]Deepanway Ghosal, Navonil Majumder, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria:
COSMIC: COmmonSense knowledge for eMotion Identification in Conversations. EMNLP (Findings) 2020: 2470-2481 - [c50]Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria:
MIME: MIMicking Emotions for Empathetic Response Generation. EMNLP (1) 2020: 8968-8979 - [c49]Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria:
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis. ACM Multimedia 2020: 1122-1131 - [i41]Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea:
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research. CoRR abs/2005.00357 (2020) - [i40]Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis. CoRR abs/2005.00791 (2020) - [i39]Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria:
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis. CoRR abs/2005.03545 (2020) - [i38]Navonil Majumder, Rishabh Bhardwaj, Soujanya Poria, Amir Zadeh, Alexander F. Gelbukh, Amir Hussain, Louis-Philippe Morency:
Improving Aspect-Level Sentiment Analysis with Aspect Extraction. CoRR abs/2005.06607 (2020) - [i37]Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria:
Investigating Gender Bias in BERT. CoRR abs/2009.05021 (2020) - [i36]Hui Chen, Pengfei Hong, Wei Han, Navonil Majumder, Soujanya Poria:
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks. CoRR abs/2009.05092 (2020) - [i35]Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Utterance-level Dialogue Understanding: An Empirical Study. CoRR abs/2009.13902 (2020) - [i34]Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria:
MIME: MIMicking Emotions for Empathetic Response Generation. CoRR abs/2010.01454 (2020) - [i33]Deepanway Ghosal, Navonil Majumder, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria:
COSMIC: COmmonSense knowledge for eMotion Identification in Conversations. CoRR abs/2010.02795 (2020) - [i32]Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh:
Emerging Trends of Multimodal Research in Vision and Language. CoRR abs/2010.09522 (2020) - [i31]Jianing Yang, Yongxin Wang, Ruitao Yi, Yuying Zhu, Azaan Rehman, Amir Zadeh, Soujanya Poria, Louis-Philippe Morency:
MTGAT: Multimodal Temporal Graph Attention Networks for Unaligned Human Multimodal Language Sequences. CoRR abs/2010.11985 (2020) - [i30]Hui Chen, Deepanway Ghosal, Navonil Majumder, Amir Hussain, Soujanya Poria:
Persuasive Dialogue Understanding: the Baselines and Negative Results. CoRR abs/2011.09954 (2020) - [i29]Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Improving Zero Shot Learning Baselines with Commonsense Knowledge. CoRR abs/2012.06236 (2020) - [i28]Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Romila Ghosh, Niyati Chhaya, Alexander F. Gelbukh, Rada Mihalcea:
Recognizing Emotion Cause in Conversations. CoRR abs/2012.11820 (2020)
2010 – 2019
- 2019
- [j24]Soujanya Poria, Navonil Majumder, Rada Mihalcea, Eduard H. Hovy:
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances. IEEE Access 7: 100943-100953 (2019) - [j23]Tushar Maheshwari, Aishwarya N. Reganti, Soujanya Poria, Rada Mihalcea:
The Nitty-GRITties of Success: Computational Analysis of Grit From Language. IEEE Access 7: 179364-179372 (2019) - [j22]Erik Cambria, Soujanya Poria, Amir Hussain, Bing Liu:
Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial]. IEEE Comput. Intell. Mag. 14(2): 16-17 (2019) - [j21]Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh:
Sentiment and Sarcasm Classification With Multitask Learning. IEEE Intell. Syst. 34(3): 38-43 (2019) - [c48]Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria:
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. AAAI 2019: 6818-6825 - [c47]Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea:
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. ACL (1) 2019: 527-536 - [c46]Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria:
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper). ACL (1) 2019: 4619-4629 - [c45]Haiyun Peng, Soujanya Poria, Yang Li, Erik Cambria:
Fusing Phonetic Features and Chinese Character Representation for Sentiment Analysis. CICLing (2) 2019: 151-165 - [c44]Devamanyu Hazarika, Gangeshwar Krishnamurthy, Soujanya Poria, Roger Zimmermann:
Multi-task Learning for Detecting Stance in Tweets. CICLing (2) 2019: 222-235 - [c43]Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander F. Gelbukh:
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation. EMNLP/IJCNLP (1) 2019: 154-164 - [c42]Sandro Cavallari, Soujanya Poria, Erik Cambria, Vincent W. Zheng, Hongyun Cai:
An Attention-Based Model for Learning Dynamic Interaction Networks. IJCNN 2019: 1-8 - [c41]Md. Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya:
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. NAACL-HLT (1) 2019: 370-379 - [e1]Rada Mihalcea, Ekaterina Shutova, Lun-Wei Ku, Kilian Evang, Soujanya Poria:
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, *SEM@NAACL-HLT 2019, Minneapolis, MN, USA, June 6-7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-948087-93-3 [contents] - [i27]Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria:
Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning. CoRR abs/1901.07880 (2019) - [i26]Navonil Majumder, Soujanya Poria, Haiyun Peng, Niyati Chhaya, Erik Cambria, Alexander F. Gelbukh:
Sentiment and Sarcasm Classification with Multitask Learning. CoRR abs/1901.08014 (2019) - [i25]Soujanya Poria, Navonil Majumder, Rada Mihalcea, Eduard H. Hovy:
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances. CoRR abs/1905.02947 (2019) - [i24]Md. Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya:
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. CoRR abs/1905.05812 (2019) - [i23]Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria:
Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper). CoRR abs/1906.01815 (2019) - [i22]Navonil Majumder, Soujanya Poria, Gangeshwar Krishnamurthy, Niyati Chhaya, Rada Mihalcea, Alexander F. Gelbukh:
Variational Fusion for Multimodal Sentiment Analysis. CoRR abs/1908.06008 (2019) - [i21]Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander F. Gelbukh:
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation. CoRR abs/1908.11540 (2019) - [i20]Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea:
Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling. CoRR abs/1910.04980 (2019) - [i19]Amir Zadeh, Tianjun Ma, Soujanya Poria, Louis-Philippe Morency:
WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation. CoRR abs/1911.09783 (2019) - [i18]Amir Zadeh, Chengfeng Mao, Kelly Shi, Yiwei Zhang, Paul Pu Liang, Soujanya Poria, Louis-Philippe Morency:
Factorized Multimodal Transformer for Multimodal Sequential Learning. CoRR abs/1911.09826 (2019) - 2018
- [j20]Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria:
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]. IEEE Comput. Intell. Mag. 13(3): 55-75 (2018) - [j19]Mauro Dragoni, Soujanya Poria, Erik Cambria:
OntoSenticNet: A Commonsense Ontology for Sentiment Analysis. IEEE Intell. Syst. 33(3): 77-85 (2018) - [j18]Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Alexander F. Gelbukh, Amir Hussain:
Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines. IEEE Intell. Syst. 33(6): 17-25 (2018) - [j17]Navonil Majumder, Devamanyu Hazarika, Alexander F. Gelbukh, Erik Cambria, Soujanya Poria:
Multimodal sentiment analysis using hierarchical fusion with context modeling. Knowl. Based Syst. 161: 124-133 (2018) - [c40]Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok:
SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings. AAAI 2018: 1795-1802 - [c39]Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency:
Memory Fusion Network for Multi-view Sequential Learning. AAAI 2018: 5634-5641 - [c38]Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency:
Multi-attention Recurrent Network for Human Communication Comprehension. AAAI 2018: 5642-5649 - [c37]Amir Zadeh, Paul Pu Liang, Soujanya Poria, Erik Cambria, Louis-Philippe Morency:
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph. ACL (1) 2018: 2236-2246 - [c36]Gangeshwar Krishnamurthy, Navonil Majumder, Soujanya Poria, Erik Cambria:
A Deep Learning Approach for Multimodal Deception Detection. CICLing (1) 2018: 87-96 - [c35]Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea:
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. COLING 2018: 1837-1848 - [c34]Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann:
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. EMNLP 2018: 2594-2604 - [c33]Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal:
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. EMNLP 2018: 3402-3411 - [c32]Deepanway Ghosal, Md. Shad Akhtar, Dushyant Singh Chauhan, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya:
Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. EMNLP 2018: 3454-3466 - [c31]Devamanyu Hazarika, Sruthi Gorantla, Soujanya Poria, Roger Zimmermann:
Self-Attentive Feature-Level Fusion for Multimodal Emotion Detection. MIPR 2018: 196-201 - [c30]Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann:
Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. NAACL-HLT (2) 2018: 266-270 - [c29]Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, Roger Zimmermann:
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos. NAACL-HLT 2018: 2122-2132 - [c28]Qian Chen, Iti Chaturvedi, Soujanya Poria, Erik Cambria, Lorenzo Malandri:
Learning Visual Concepts in Images Using Temporal Convolutional Networks. SSCI 2018: 1280-1284 - [c27]Danyuan Ho, Diyana Hamzah, Soujanya Poria, Erik Cambria:
Singlish SenticNet: A Concept-Based Sentiment Resource for Singapore English. SSCI 2018: 1285-1291 - [r1]Iti Chaturvedi, Soujanya Poria, Erik Cambria:
Sentiment Analysis, Basic Tasks of. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i17]Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency:
Multi-attention Recurrent Network for Human Communication Comprehension. CoRR abs/1802.00923 (2018) - [i16]Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency:
Memory Fusion Network for Multi-view Sequential Learning. CoRR abs/1802.00927 (2018) - [i15]Gangeshwar Krishnamurthy, Navonil Majumder, Soujanya Poria, Erik Cambria:
A Deep Learning Approach for Multimodal Deception Detection. CoRR abs/1803.00344 (2018) - [i14]Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Amir Hussain, Alexander F. Gelbukh:
Multimodal Sentiment Analysis: Addressing Key Issues and Setting up Baselines. CoRR abs/1803.07427 (2018) - [i13]Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea:
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. CoRR abs/1805.06413 (2018) - [i12]Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu:
Anaphora and Coreference Resolution: A Review. CoRR abs/1805.11824 (2018) - [i11]Navonil Majumder, Devamanyu Hazarika, Alexander F. Gelbukh, Erik Cambria, Soujanya Poria:
Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling. CoRR abs/1806.06228 (2018) - [i10]Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea:
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. CoRR abs/1810.02508 (2018) - [i9]Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria:
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. CoRR abs/1811.00405 (2018) - 2017
- [b1]Soujanya Poria:
Novel symbolic and machine-learning approaches for text-based and multimodal sentiment analysis. University of Stirling, UK, 2017 - [j16]Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Erik Cambria:
Deep Learning-Based Document Modeling for Personality Detection from Text. IEEE Intell. Syst. 32(2): 74-79 (2017) - [j15]Erik Cambria, Soujanya Poria, Alexander F. Gelbukh, Mike Thelwall:
Sentiment Analysis Is a Big Suitcase. IEEE Intell. Syst. 32(6): 74-80 (2017) - [j14]Soujanya Poria, Haiyun Peng, Amir Hussain, Newton Howard, Erik Cambria:
Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. Neurocomputing 261: 217-230 (2017) - [j13]Soujanya Poria, Erik Cambria, Rajiv Bajpai, Amir Hussain:
A review of affective computing: From unimodal analysis to multimodal fusion. Inf. Fusion 37: 98-125 (2017) - [c26]Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency:
Context-Dependent Sentiment Analysis in User-Generated Videos. ACL (1) 2017: 873-883 - [c25]Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam:
Benchmarking Multimodal Sentiment Analysis. CICLing (2) 2017: 166-179 - [c24]Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, Louis-Philippe Morency:
Tensor Fusion Network for Multimodal Sentiment Analysis. EMNLP 2017: 1103-1114 - [c23]Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency:
Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis. ICDM 2017: 1033-1038 - [i8]Rajiv Bajpai, Soujanya Poria, Danyuan Ho, Erik Cambria:
Developing a concept-level knowledge base for sentiment analysis in Singlish. CoRR abs/1707.04408 (2017) - [i7]Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, Louis-Philippe Morency:
Tensor Fusion Network for Multimodal Sentiment Analysis. CoRR abs/1707.07250 (2017) - [i6]Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam:
Benchmarking Multimodal Sentiment Analysis. CoRR abs/1707.09538 (2017) - [i5]Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria:
Recent Trends in Deep Learning Based Natural Language Processing. CoRR abs/1708.02709 (2017) - [i4]Iti Chaturvedi, Soujanya Poria, Erik Cambria:
Basic tasks of sentiment analysis. CoRR abs/1710.06536 (2017) - 2016
- [j12]Nir Ofek, Soujanya Poria, Lior Rokach, Erik Cambria, Amir Hussain, Asaf Shabtai:
Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis. Cogn. Comput. 8(3): 467-477 (2016) - [j11]Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y. A. Hawalah, Alexander F. Gelbukh, Qiang Zhou:
Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques. Cogn. Comput. 8(4): 757-771 (2016) - [j10]Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y. A. Hawalah, Alexander F. Gelbukh, Qiang Zhou:
Erratum to: Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques. Cogn. Comput. 8(4): 772-775 (2016) - [j9]Soujanya Poria, Erik Cambria, Newton Howard, Guang-Bin Huang, Amir Hussain:
Fusing audio, visual and textual clues for sentiment analysis from multimodal content. Neurocomputing 174: 50-59 (2016) - [j8]Soujanya Poria, Erik Cambria, Alexander F. Gelbukh:
Aspect extraction for opinion mining with a deep convolutional neural network. Knowl. Based Syst. 108: 42-49 (2016) - [c22]Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij:
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. COLING 2016: 1601-1612 - [c21]Erik Cambria, Soujanya Poria, Rajiv Bajpai, Björn W. Schuller:
SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives. COLING 2016: 2666-2677 - [c20]Soujanya Poria, Iti Chaturvedi, Erik Cambria, Amir Hussain:
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis. ICDM 2016: 439-448 - [c19]Iti Chaturvedi, Erik Cambria, Soujanya Poria, Rajiv Bajpai:
Bayesian Deep Convolution Belief Networks for Subjectivity Detection. ICDM Workshops 2016: 916-923 - [c18]Soujanya Poria, Iti Chaturvedi, Erik Cambria, Federica Bisio:
Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis. IJCNN 2016: 4465-4473 - [i3]Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij:
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. CoRR abs/1610.08815 (2016) - 2015
- [j7]Soujanya Poria, Erik Cambria, Alexander F. Gelbukh, Federica Bisio, Amir Hussain:
Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns. IEEE Comput. Intell. Mag. 10(4): 26-36 (2015) - [j6]Basant Agarwal, Soujanya Poria, Namita Mittal, Alexander F. Gelbukh, Amir Hussain:
Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach. Cogn. Comput. 7(4): 487-499 (2015) - [j5]Soujanya Poria, Erik Cambria, Amir Hussain, Guang-Bin Huang:
Towards an intelligent framework for multimodal affective data analysis. Neural Networks 63: 104-116 (2015) - [c17]Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria:
AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis. AAAI 2015: 508-514 - [c16]Erik Cambria, Soujanya Poria, Federica Bisio, Rajiv Bajpai, Iti Chaturvedi:
The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis. CICLing (2) 2015: 3-22 - [c15]Prerna Chikersal, Soujanya Poria, Erik Cambria, Alexander F. Gelbukh, Chng Eng Siong:
Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning. CICLing (2) 2015: 49-65 - [c14]Soujanya Poria, Erik Cambria, Alexander F. Gelbukh:
Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis. EMNLP 2015: 2539-2544 - [c13]Prerna Chikersal, Soujanya Poria, Erik Cambria:
SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning. SemEval@NAACL-HLT 2015: 647-651 - 2014
- [j4]Soujanya Poria, Erik Cambria, Grégoire Winterstein, Guang-Bin Huang:
Sentic patterns: Dependency-based rules for concept-level sentiment analysis. Knowl. Based Syst. 69: 45-63 (2014) - [j3]Soujanya Poria, Alexander F. Gelbukh, Erik Cambria, Amir Hussain, Guang-Bin Huang:
EmoSenticSpace: A novel framework for affective common-sense reasoning. Knowl. Based Syst. 69: 108-123 (2014) - [c12]Soujanya Poria, Erik Cambria, Lun-Wei Ku, Chen Gui, Alexander F. Gelbukh:
A Rule-Based Approach to Aspect Extraction from Product Reviews. SocialNLP@COLING 2014: 28-37 - [c11]Soujanya Poria, Basant Agarwal, Alexander F. Gelbukh, Amir Hussain, Newton Howard:
Dependency-Based Semantic Parsing for Concept-Level Text Analysis. CICLing (1) 2014: 113-127 - [c10]Soujanya Poria, Nir Ofek, Alexander F. Gelbukh, Amir Hussain, Lior Rokach:
Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis. SemWebEval@ESWC 2014: 41-47 - [c9]Erik Cambria, Soujanya Poria, Alexander F. Gelbukh, Kenneth Kwok:
Sentic API: A Common and Common-Sense Knowledge API for Cognition-Driven Sentiment Analysis. #MSM 2014: 19-24 - 2013
- [j2]Soujanya Poria, Alexander F. Gelbukh, Amir Hussain, Newton Howard, Dipankar Das, Sivaji Bandyopadhyay:
Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining. IEEE Intell. Syst. 28(2): 31-38 (2013) - [c8]Saliha Minhas, Soujanya Poria, Amir Hussain, Khalid Hussainey:
A Review of Artificial Intelligence and Biologically Inspired Computational Approaches to Solving Issues in Narrative Financial Disclosure. BICS 2013: 317-327 - [c7]Soujanya Poria, Alexander F. Gelbukh, Amir Hussain, Sivaji Bandyopadhyay, Newton Howard:
Music Genre Classification: A Semi-supervised Approach. MCPR 2013: 254-263 - [c6]Soujanya Poria, Alexander F. Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard:
Common Sense Knowledge Based Personality Recognition from Text. MICAI (2) 2013: 484-496 - [c5]Soujanya Poria, Alexander F. Gelbukh, Basant Agarwal, Erik Cambria, Newton Howard:
Erratum: Common Sense Knowledge Based Personality Recognition from Text. MICAI (2) 2013 - [p1]Erik Cambria, Marco Grassi, Soujanya Poria, Amir Hussain:
Sentic Computing for Social Media Analysis, Representation, and Retrieval. Social Media Retrieval 2013: 191-215 - 2012
- [c4]Soujanya Poria, Alexander F. Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay:
Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering. ICDM Workshops 2012: 709-716 - [c3]Partha Pakray, Santanu Pal, Soujanya Poria, Sivaji Bandyopadhyay, Alexander F. Gelbukh:
SMSFR: SMS-Based FAQ Retrieval System. MICAI (2) 2012: 36-45 - [c2]Soujanya Poria, Alexander F. Gelbukh, Dipankar Das, Sivaji Bandyopadhyay:
Fuzzy Clustering for Semi-supervised Learning - Case Study: Construction of an Emotion Lexicon. MICAI (1) 2012: 73-86 - [c1]Dipankar Das, Soujanya Poria, Sivaji Bandyopadhyay:
A Classifier Based Approach to Emotion Lexicon Construction. NLDB 2012: 320-326 - 2011
- [j1]Partha Pakray, Soujanya Poria, Sivaji Bandyopadhyay, Alexander F. Gelbukh:
Semantic Textual Entailment Recognition using UNL. Polibits 43: 23-27 (2011) - [i2]Partha Pakray, Snehasis Neogi, Pinaki Bhaskar, Soujanya Poria, Sivaji Bandyopadhyay, Alexander F. Gelbukh:
A Textual Entailment System using Anaphora Resolution. TAC 2011 - 2010
- [i1]Partha Pakray, Santanu Pal, Soujanya Poria, Sivaji Bandyopadhyay, Alexander F. Gelbukh:
JU_CSE_TAC: Textual Entailment Recognition System at TAC RTE-6. TAC 2010
Coauthor Index
aka: Navonil Mazumder
aka: AmirAli Bagher Zadeh
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