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Journal Articles
- 2023
[j8]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)- 2022
- [j7]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) - [j6]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) - 2021
- [j5]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) - [j4]Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea:
Conversational transfer learning for emotion recognition. Inf. Fusion 65: 1-12 (2021) - 2018
- [j3]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) - [j2]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) - [j1]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)
Conference and Workshop Papers
- 2023
- [c32]Yan Xu, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu, Dilek Hakkani-Tür:
KILM: Knowledge Injection into Encoder-Decoder Language Models. ACL (1) 2023: 5013-5035 - [c31]Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur:
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. EACL 2023: 1455-1468 - [c30]Taha Aksu, Devamanyu Hazarika, Shikib Mehri, Seokhwan Kim, Dilek Hakkani-Tur, Yang Liu, Mahdi Namazifar:
CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs. EMNLP 2023: 11709-11737 - [c29]Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tur:
Using In-Context Learning to Improve Dialogue Safety. EMNLP (Findings) 2023: 11882-11910 - [c28]Mahdi Namazifar, Devamanyu Hazarika, Dilek Hakkani-Tür:
Role of Bias Terms in Dot-Product Attention. ICASSP 2023: 1-5 - [c27]Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur:
"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge. SIGDIAL 2023: 309-323 - 2022
- [c26]Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür:
Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation. AAAI 2022: 10738-10748 - [c25]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 - [c24]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. EMNLP 2022: 793-808 - [c23]Hyunwook Kang, Devamanyu Hazarika, Dongho Kim, Jihie Kim:
Zero-Shot Visual Emotion Recognition by Exploiting BERT. IntelliSys (2) 2022: 485-494 - [c22]Devamanyu Hazarika, Yingting Li, Bo Cheng, Shuai Zhao, Roger Zimmermann, Soujanya Poria:
Analyzing Modality Robustness in Multimodal Sentiment Analysis. NAACL-HLT 2022: 685-696 - [c21]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. NAACL-HLT (Findings) 2022: 1375-1388 - 2021
- [c20]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann:
Domain Divergences: A Survey and Empirical Analysis. NAACL-HLT 2021: 1830-1849 - 2020
- [c19]Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis. ACL 2020: 3198-3210 - [c18]Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin:
Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) 2020: 4742-4753 - [c17]Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria:
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis. ACM Multimedia 2020: 1122-1131 - 2019
- [c16]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 - [c15]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 - [c14]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 - [c13]Devamanyu Hazarika, Gangeshwar Krishnamurthy, Soujanya Poria, Roger Zimmermann:
Multi-task Learning for Detecting Stance in Tweets. CICLing (2) 2019: 222-235 - 2018
- [c12]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 - [c11]Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann:
Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. CICLing (2) 2018: 142-160 - [c10]Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea:
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. COLING 2018: 1837-1848 - [c9]Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann:
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. EMNLP 2018: 2594-2604 - [c8]Devamanyu Hazarika, Sruthi Gorantla, Soujanya Poria, Roger Zimmermann:
Self-Attentive Feature-Level Fusion for Multimodal Emotion Detection. MIPR 2018: 196-201 - [c7]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 - [c6]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 - 2017
- [c5]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 - [c4]Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam:
Benchmarking Multimodal Sentiment Analysis. CICLing (2) 2017: 166-179 - [c3]Amarjot Singh, Devamanyu Hazarika, Aniruddha Bhattacharya:
Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) for Brain Matter Segmentation. ICCV Workshops 2017: 1181-1188 - [c2]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 - 2016
- [c1]Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij:
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. COLING 2016: 1601-1612
Informal and Other Publications
- 2023
- [i31]Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tür:
Using In-Context Learning to Improve Dialogue Safety. CoRR abs/2302.00871 (2023) - [i30]Yen-Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur:
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. CoRR abs/2302.05096 (2023) - [i29]Mahdi Namazifar, Devamanyu Hazarika, Dilek Hakkani-Tur:
Role of Bias Terms in Dot-Product Attention. CoRR abs/2302.08626 (2023) - [i28]Yan Xu, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu, Dilek Hakkani-Tür:
KILM: Knowledge Injection into Encoder-Decoder Language Models. CoRR abs/2302.09170 (2023) - [i27]Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur:
"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge. CoRR abs/2305.12091 (2023) - [i26]Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, Sungjin Lee, Yang Liu, Mahdi Namazifar:
Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language. CoRR abs/2311.14543 (2023) - [i25]Taha Aksu, Devamanyu Hazarika, Shikib Mehri, Seokhwan Kim, Dilek Hakkani-Tür, Yang Liu, Mahdi Namazifar:
CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs. CoRR abs/2311.17376 (2023) - 2022
- [i24]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. CoRR abs/2205.03720 (2022) - [i23]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) - [i22]Devamanyu Hazarika, Yingting Li, Bo Cheng, Shuai Zhao, Roger Zimmermann, Soujanya Poria:
Analyzing Modality Robustness in Multimodal Sentiment Analysis. CoRR abs/2205.15465 (2022) - [i21]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. CoRR abs/2210.14469 (2022) - 2021
- [i20]Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür:
Zero-Shot Controlled Generation with Encoder-Decoder Transformers. CoRR abs/2106.06411 (2021) - [i19]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) - 2020
- [i18]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) - [i17]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) - [i16]Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria:
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis. CoRR abs/2005.03545 (2020) - [i15]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) - [i14]Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann:
Domain Divergences: a Survey and Empirical Analysis. CoRR abs/2010.12198 (2020) - [i13]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) - 2019
- [i12]Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann:
Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. CoRR abs/1902.08342 (2019) - [i11]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) - [i10]Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea:
Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling. CoRR abs/1910.04980 (2019) - 2018
- [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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
- [i4]Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam:
Benchmarking Multimodal Sentiment Analysis. CoRR abs/1707.09538 (2017) - [i3]Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria:
Recent Trends in Deep Learning Based Natural Language Processing. CoRR abs/1708.02709 (2017) - [i2]Amarjot Singh, Devamanyu Hazarika, Aniruddha Bhattacharya:
Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) For Brain Matter Segmentation. CoRR abs/1708.09300 (2017) - 2016
- [i1]Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij:
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. CoRR abs/1610.08815 (2016)
Coauthor Index
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