Devamanyu Hazarika

According to our database, Devamanyu Hazarika authored at least 47 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues.

Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research.

Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea

IEEE Trans. Affect. Comput., 2023

Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language.

Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, Sungjin Lee, Yang Liu, Mahdi Namazifar

CoRR, 2023

"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge.

Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Role of Bias Terms in Dot-Product Attention.

Mahdi Namazifar, Devamanyu Hazarika, Dilek Hakkani-Tür

Proceedings of the IEEE International Conference on Acoustics, 2023

Using In-Context Learning to Improve Dialogue Safety.

Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tur

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs.

Taha Aksu, Devamanyu Hazarika, Shikib Mehri, Seokhwan Kim, Dilek Hakkani-Tur, Yang Liu, Mahdi Namazifar

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information.

Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

KILM: Knowledge Injection into Encoder-Decoder Language Models.

Yan Xu, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu, Dilek Hakkani-Tür

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Multimodal research in vision and language: A review of current and emerging trends.

Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh

Inf. Fusion, 2022

Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication.

Navonil Majumder, Deepanway Ghosal, Devamanyu Hazarika, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria

IEEE Access, 2022

Analyzing Modality Robustness in Multimodal Sentiment Analysis.

Devamanyu Hazarika, Yingting Li, Bo Cheng, Shuai Zhao, Roger Zimmermann, Soujanya Poria

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention.

Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Zero-Shot Visual Emotion Recognition by Exploiting BERT.

Hyunwook Kang, Devamanyu Hazarika, Dongho Kim, Jihie Kim

Proceedings of the Intelligent Systems and Applications, 2022

Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning.

Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

So Different Yet So Alike! Constrained Unsupervised Text Style Transfer.

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation.

Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Conversational transfer learning for emotion recognition.

Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea

Inf. Fusion, 2021

Zero-Shot Controlled Generation with Encoder-Decoder Transformers.

Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür

CoRR, 2021

Recognizing Emotion Cause in Conversations.

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

Cogn. Comput., 2021

Domain Divergences: A Survey and Empirical Analysis.

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Recognizing Emotion Cause in Conversations.

Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Romila Ghosh, Niyati Chhaya, Alexander F. Gelbukh, Rada Mihalcea

CoRR, 2020

Emerging Trends of Multimodal Research in Vision and Language.

Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika, Navonil Majumder, Soujanya Poria, Roger Zimmermann, Amir Zadeh

CoRR, 2020

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis.

Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Methods for Numeracy-Preserving Word Embeddings.

Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis.

Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea, Soujanya Poria

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling.

Devamanyu Hazarika, Soujanya Poria, Roger Zimmermann, Rada Mihalcea

CoRR, 2019

Multi-task Learning for Detecting Stance in Tweets.

Devamanyu Hazarika, Gangeshwar Krishnamurthy, Soujanya Poria, Roger Zimmermann

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.

Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper).

Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations.

Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multimodal sentiment analysis using hierarchical fusion with context modeling.

Navonil Majumder, Devamanyu Hazarika, Alexander F. Gelbukh, Erik Cambria, Soujanya Poria

Knowl. Based Syst., 2018

Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines.

Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, Alexander F. Gelbukh, Amir Hussain

IEEE Intell. Syst., 2018

Recent Trends in Deep Learning Based Natural Language Processing [Review Article].

Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria

IEEE Comput. Intell. Mag., 2018

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos.

Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, Roger Zimmermann

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis.

Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Self-Attentive Feature-Level Fusion for Multimodal Emotion Detection.

Devamanyu Hazarika, Sruthi Gorantla, Soujanya Poria, Roger Zimmermann

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection.

Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums.

Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining.

Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings.

Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Recent Trends in Deep Learning Based Natural Language Processing.

Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria

CoRR, 2017

Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis.

Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) for Brain Matter Segmentation.

Amarjot Singh, Devamanyu Hazarika, Aniruddha Bhattacharya

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Benchmarking Multimodal Sentiment Analysis.

Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

Context-Dependent Sentiment Analysis in User-Generated Videos.

Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks.

Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij

Proceedings of the COLING 2016, 2016