2021

  1. Cross-Domain Reasoning via Template Filling Dheeraj Rajagopal , Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew Fano, Eduard Hovy, arXiv 2021 [PDF]
  2. SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers Dheeraj Rajagopal, Vidhisha Balachandran, Eduard Hovy, Yulia Tsvetkov, EMNLP 2021 [PDF]
  3. Think about it! Improving defeasible reasoning by first modeling the question scenario Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard Hovy, EMNLP 2021 [PDF]
  4. Could you give me a hint? Generating inference graphs for defeasible reasoning Aman Madaan*, Dheeraj Rajagopal*, Niket Tandon* (Equal Contribution), Yiming Yang, Eduard Hovy, ACL Findings 2021 [PDF]
  5. 2020

    1. EIGEN: Event Influence GENeration using Pre-trained Language Models Madaan, Aman* (Equal Contribution), Rajagopal, Dheeraj* (Equal Contribution), Yang, Yiming, Ravichander, Abhilasha, Hovy, Eduard, Prabhumoye, Shrimai EMNLP 2020 [PDF]
    2. What-if I ask you to explain: Explaining the effects of perturbations in procedural text Rajagopal, Dheeraj , Tandon, Niket, Clarke, Peter, Dalvi, Bhavana, Hovy, Eduard EMNLP 2020 [PDF]
    3. StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization Balachandran, Vidhisha, Pagnoni, Artidoro, Lee, Jay Yoon, Rajagopal, Dheeraj , Carbonell, Jaime, Tsvetkov, Yulia arXiv 2020 [PDF]

    2019

    1. Modeling the Relationship between User Comments and Edits in Document Revision Rajagopal, Dheeraj , Vyas, Nidhi , Siddhant, Aditya , Rayasam, Anirudha , Tandon, Niket , and Hovy, Eduard ACL BioNLP Workshop 2018 [PDF]
    2. Domain adaptation of srl systems for biological processes Zhang, Xuchao, Rajagopal, Dheeraj Gamon, Michael , Jauhar, Sujay Kumar, Lu, ChangTien EMNLP 2019 [PDF]

    2018

    1. Gated-attention architectures for task-oriented language grounding Chaplot, Devendra Singh, Sathyendra, Kanthashree Mysore, Pasumarthi, Rama Kumar, Rajagopal, Dheeraj, and Salakhutdinov, Ruslan AAAI, 2018 [PDF] [Code]
    2. Learning to Define Terms in the Software Domain Balachandran, Vidhisha, Rajagopal, Dheeraj, Catherine, Rose, and Cohen, William WNUT Workshop, EMNLP 2018 [PDF]
    3. Simple and Effective Semi-Supervised Question Answering Dhingra, Bhuwan, Pruthi, Danish, and Rajagopal, Dheeraj NAACL 2018

    2016

    1. Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts. Araki, Jun, Rajagopal, Dheeraj, Sankaranarayanan, Sreecharan, Holm, Susan, Yamakawa, Yukari, and Mitamura, Teruko In COLING, 2016 [PDF]
    2. Unsupervised Event Coreference for Abstract Words Rajagopal, Dheeraj, Hovy, Eduard, and Mitamura, Teruko Uphill Battles in Language Processing: Scaling early achievements to robust methods, EMNLP, 2016 [PDF]

    2015

    1. GECKA: Game Engine For Commonsense Knowledge Acquisition Cambria, Erik, Rajagopal, Dheeraj, Kwok, Kenneth, and Sepulveda, Jose In FLAIRS, 2015 [PDF]

    2014

    1. SenticNet 3: A Common And Common-sense Knowledge Base For Cognition-driven Sentiment Analysis Cambria, Erik, Olsher, Daniel, and Rajagopal, Dheeraj In AAAI, 2014 [PDF]

    2013

    1. A Graph-based Approach to Commonsense Concept Extraction and Semantic Similarity Detection Rajagopal, Dheeraj, Cambria, Erik, Olsher, Daniel, and Kwok, Kenneth In WWW, 2013 [PDF]
    2. Commonsense-based Topic Modeling Rajagopal, Dheeraj, Olsher, Daniel, Cambria, Erik, and Kwok, Kenneth In Second International Workshop On Issues Of Sentiment Discovery And Opinion Mining, KDD, 2013 [PDF]
    3. Big Social Data Analysis Cambria, Erik, Rajagopal, Dheeraj, Olsher, Daniel, and Das, Dipankar Big Data Computing, 2013 [PDF]

    2012

    1. Markov Chains For Robust Graph-based Commonsense Information Extraction Tandon, Niket, Rajagopal, Dheeraj, and Melo, Gerard COLING 2012: Demonstration Papers, 2012 [PDF]