Publications

You can also find my articles on my Google Scholar profile.

Conference Publications

  • Towards Multimodal Sarcasm Detection (An Obviously Perfect Paper) [pdf][code]
    Santiago Castro*, Devamanyu Hazarika*, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria. * Equal Contribution
    ACL 2019, Florence, Italy.

  • MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations [pdf][webpage][code]
    Soujanya Poria, Devamanyu Hazarika, Navonil Mazumder, Gautam Naik, Erik Cambria, Rada Mihalcea
    ACL 2019, Florence, Italy.

  • Multi-task Learning for Detecting Stance in Tweets
    Devamanyu Hazarika, Gangeshwar Krishnamurthy, Soujanya Poria, Roger Zimmermann
    CICLing 2019, La Rochelle, France.

  • DialogueRNN: An Attentive RNN for Emotion Detection in Conversations [pdf][code]
    Navonil Mazumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, Erik Cambria
    AAAI 2019, Honolulu, Hawaii.

  • ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection [pdf][code]
    Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann
    EMNLP 2018, Brussels, Belgium.

  • CASCADE: Contextual Sarcasm Detection in Online Discussion Forums [pdf][code]
    Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea
    COLING 2018, New Mexico, USA.

  • CMN: Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos [pdf][code]
    Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, L.P. Morency, Roger Zimmermann
    NAACL 2018, New Orleans, USA.

  • Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis [pdf][code]
    Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann
    NAACL 2018 [Short Paper], New Orleans, USA.

  • Self-Attentive Feature-level Fusion for Multimodal Emotion Detection [pdf]
    Devamanyu Hazarika, Sruthi Gorantla, Soujanya Poria, Roger Zimmermann
    MR2AMC 2018 [Workshop], Miami, USA.

  • SenticNet 5: Discovering conceptual primitives for sentiment analysis by means of context embeddings [pdf][code]
    Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok
    AAAI 2018, New Orleans, USA.

  • Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining [pdf]
    Devamanyu Hazarika, Rajiv Bajpai, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann
    CICLing 2018, Hanoi, Vietnam.

  • Multi-level multiple attentions for context-aware multimodal sentiment analysis [pdf][code]
    Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Mazumder, Amir Zadeh, L.P. Morency
    ICDM 2017, New Orleans, USA.

  • Context-dependent sentiment analysis in user-generated videos [pdf][code]
    Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Mazumder, Amir Zadeh, L.P. Morency
    ACL 2017, Vancouver, Canada.

  • Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) For Brain Matter Segmentation [pdf]
    Amarjot Singh, Devamanyu Hazarika, Aniruddha Bhattacharya ACL 2017, Vancouver, Canada.

  • Benchmarking Multimodal Sentiment Analysis [pdf]
    Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R.B.V. Subramaanyam
    CICling 2017, Budapest, Hungary.

  • A Deeper Look into Sarcastic Tweets using Deep Convolutional Neural Networks [pdf]
    Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij
    COLING 2016, Osaka, Japan.

Journal Publications

  • Recent Trends in Deep Learning Based Natural Language Processing [pdf]
    Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria
    IEEE Computational Intelligence Magazine 2018

  • Multimodal Sentiment Analysis: Addressing Key Issues and Setting up Baselines [pdf]
    Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Erik Cambria, A Hussain and A Gelbukh
    Cognitive Computation 2018

  • Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling [pdf][code]
    Navonil Majumder, Devamanyu Hazarika, Alexander Gelbukh, Erik Cambria and Soujanya Poria
    Knowledge Based Systems 2018