Welcome fellow researchers to the DeCLaRe Lab! We hereby DeCLaRe our quest to breathe cognitive and language skills of human-like depth into machines by solving challenging NLP problems, such as, dialogue comprehension and generation, commonsense reasoning, multimodal understanding, and more. Addressing such open research problems requires powerful, scalable, and data-hungry algorithms. As such, we develop cutting-edge neural models, based on sound linguistic concepts. To know more about our work, please browse our catalog of publications.
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The DeCLaRe lab has been awarded Tier 2 funding by the Ministry of Education (MoE), Singapore. We are grateful to MoE for their generosity. The project will focus on building techniques for Commonsense-aware NLP. Shoutout to the team-- Prof. Rada Mihalcea, Dr. Navonil Majumder, Prof. Alexander Gelbukh, Devamanyu Hazarika, and Deepanway Ghosal without whom it was not possible.
New paper - Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study Read here.
New paper - Recognizing Emotion Cause in Conversations Read here.
New paper on Sentiment Analysis - Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research Read here.
We have a number of openings to join us at the DeCLaRe Lab as postdocs and research assistants/associates. Drop an email to Soujanya
The DeCLaRe lab has been awarded programmatic funding by AME. We are grateful to AME for their generosity. The project will focus on building knowledge graph-based question answering.
The DeCLaRe lab secured funding from DSO for a project on complex question answering. Thank you, DSO!
New paper on transfer learning - Hazarika, Devamanyu, Soujanya Poria, Roger Zimmermann, and Rada Mihalcea. "Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling. [Download the paper].