Dheeraj Rajagopal
Dheeraj Rajagopal
Graduate Student
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Cited by
Cited by
SenticNet 3: a common and common-sense knowledge base for cognition-driven sentiment analysis
E Cambria, D Olsher, D Rajagopal
Twenty-eighth AAAI conference on artificial intelligence, 2014
Gated-attention architectures for task-oriented language grounding
DS Chaplot, KM Sathyendra, RK Pasumarthi, D Rajagopal, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Big social data analysis
E Cambria, D Rajagopal, D Olsher, D Das
Big data computing 13, 401-414, 2013
A graph-based approach to commonsense concept extraction and semantic similarity detection
D Rajagopal, E Cambria, D Olsher, K Kwok
Proceedings of the 22nd International Conference on World Wide Web, 565-570, 2013
Generating questions and multiple-choice answers using semantic analysis of texts
J Araki, D Rajagopal, S Sankaranarayanan, S Holm, Y Yamakawa, ...
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Simple and effective semi-supervised question answering
B Dhingra, D Pruthi, D Rajagopal
Proceedings of the 2018 Conference of the North {A}merican Chapter of the …, 2018
Commonsense-based topic modeling
D Rajagopal, D Olsher, E Cambria, K Kwok
Proceedings of the second international workshop on issues of sentiment …, 2013
GECKA: game engine for commonsense knowledge acquisition
E Cambria, D Rajagopal, K Kwok, J Sepulveda
The Twenty-Eighth International Flairs Conference, 2015
Selfexplain: A self-explaining architecture for neural text classifiers
D Rajagopal, V Balachandran, E Hovy, Y Tsvetkov
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
A dataset for tracking entities in open domain procedural text
N Tandon, K Sakaguchi, BD Mishra, D Rajagopal, P Clark, M Guerquin, ...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Structsum: Incorporating latent and explicit sentence dependencies for single document summarization
V Balachandran, A Pagnoni, JY Lee, D Rajagopal, J Carbonell, ...
Proceedings of the 16th Conference of the European Chapter of the …, 2021
What-if I ask you to explain: Explaining the effects of perturbations in procedural text
D Rajagopal, N Tandon, B Dalvi, P Clark, E Hovy
Findings of the Association for Computational Linguistics: EMNLP 2020, 3345 …, 2020
Eigen: Event influence generation using pre-trained language models
A Madaan, D Rajagopal, Y Yang, A Ravichander, E Hovy, S Prabhumoye
arXiv preprint arXiv:2010.11764, 2020
Think about it! Improving defeasible reasoning by first modeling the question scenario
A Madaan, N Tandon, D Rajagopal, P Clark, Y Yang, E Hovy
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
Domain adaptation of srl systems for biological processes
D Rajagopal, N Vyas, A Siddhant, A Rayasam, N Tandon, E Hovy
Proceedings of the 18th BioNLP Workshop and Shared Task, 80-87, 2019
Could you give me a hint? Generating inference graphs for defeasible reasoning
A Madaan, D Rajagopal, N Tandon, Y Yang, E Hovy
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
Curie: An iterative querying approach for reasoning about situations
D Rajagopal, A Madaan, N Tandon, Y Yang, S Prabhumoye, ...
Proceedings of the First Workshop on Commonsense Representation and …, 2021
Modeling the relationship between user comments and edits in document revision
X Zhang, D Rajagopal, M Gamon, SK Jauhar, CT Lu
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Learning to define terms in the software domain
V Balachandran, D Rajagopal, RC Kanjirathinkal, W Cohen
Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User …, 2018
Counterfactual Data Augmentation improves Factuality of Abstractive Summarization
D Rajagopal, S Shakeri, CN Santos, E Hovy, CC Chang
arXiv preprint arXiv:2205.12416, 2022
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