Dheeraj Rajagopal
Dheeraj Rajagopal
Graduate Student
Dirección de correo verificada de cs.cmu.edu - Página principal
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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
4232014
Big social data analysis
E Cambria, D Rajagopal, D Olsher, D Das
Big data computing 13, 401-414, 2013
1052013
Gated-attention architectures for task-oriented language grounding
DS Chaplot, KM Sathyendra, RK Pasumarthi, D Rajagopal, ...
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
902018
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
902013
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
482016
Simple and effective semi-supervised question answering
B Dhingra, D Pruthi, D Rajagopal
arXiv preprint arXiv:1804.00720, 2018
402018
GECKA: game engine for commonsense knowledge acquisition
E Cambria, D Rajagopal, K Kwok, J Sepulveda
The Twenty-Eighth International Flairs Conference, 2015
27*2015
Commonsense-based topic modeling
D Rajagopal, D Olsher, E Cambria, K Kwok
Proceedings of the second international workshop on issues of sentiment …, 2013
272013
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
82020
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
arXiv preprint arXiv:2005.01526, 2020
62020
Structsum: Incorporating latent and explicit sentence dependencies for single document summarization
V Balachandran, A Pagnoni, JY Lee, D Rajagopal, J Carbonell, ...
ArXiv e-prints, arXiv: 2003.00576, 2020
62020
A dataset for tracking entities in open domain procedural text
N Tandon, K Sakaguchi, BD Mishra, D Rajagopal, P Clark, M Guerquin, ...
arXiv preprint arXiv:2011.08092, 2020
42020
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
32019
StructSum: Summarization via structured representations
V Balachandran, A Pagnoni, JY Lee, D Rajagopal, J Carbonell, ...
arXiv preprint arXiv:2003.00576, 2020
22020
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
22019
Markov chains for robust graph-based commonsense information extraction
N Tandon, D Rajagopal, G de Melo
Proceedings of COLING 2012: Demonstration Papers, 439-446, 2012
22012
Curie: An iterative querying approach for reasoning about situations
D Rajagopal, A Madaan, N Tandon, Y Yang, S Prabhumoye, ...
arXiv preprint arXiv:2104.00814, 2021
12021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
D Rajagopal, V Balachandran, E Hovy, Y Tsvetkov
arXiv preprint arXiv:2103.12279, 2021
12021
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
12018
Unsupervised event coreference for abstract words
D Rajagopal, E Hovy, T Mitamura
Proceedings of the Workshop on Uphill Battles in Language Processing …, 2016
12016
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20