Tushar Khot
TitleCited byYear
Gradient-based boosting for statistical relational learning: The relational dependency network case
S Natarajan, T Khot, K Kersting, B Gutmann, J Shavlik
Machine Learning 86 (1), 25-56, 2012
1202012
Scitail: A textual entailment dataset from science question answering
T Khot, A Sabharwal, P Clark
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
782018
Combining retrieval, statistics, and inference to answer elementary science questions
P Clark, O Etzioni, T Khot, A Sabharwal, O Tafjord, P Turney, D Khashabi
Thirtieth AAAI Conference on Artificial Intelligence, 2016
782016
Learning markov logic networks via functional gradient boosting
T Khot, S Natarajan, K Kersting, J Shavlik
2011 IEEE 11th International Conference on Data Mining, 320-329, 2011
752011
Think you have solved question answering? try arc, the ai2 reasoning challenge
P Clark, I Cowhey, O Etzioni, T Khot, A Sabharwal, C Schoenick, O Tafjord
arXiv preprint arXiv:1803.05457, 2018
582018
Question answering via integer programming over semi-structured knowledge
D Khashabi, T Khot, A Sabharwal, P Clark, O Etzioni, D Roth
IJCAI, 2016
462016
Exploring Markov Logic Networks for Question Answering
T Khot, N Balasubramanian, E Gribkoff, A Sabharwal, P Clark, O Etzioni
Empirical Methods in Natural Language Processing, 685--694, 2015
44*2015
Can a suit of armor conduct electricity? a new dataset for open book question answering
T Mihaylov, P Clark, T Khot, A Sabharwal
arXiv preprint arXiv:1809.02789, 2018
372018
Answering Complex Questions Using Open Information Extraction
T Khot, A Sabharwal, P Clark
ACL, 311--316, 2017
342017
How creative is your writing? a linguistic creativity measure from computer science and cognitive psychology perspectives
X Zhu, Z Xu, T Khot
Proceedings of the workshop on computational approaches to linguistic …, 2009
292009
Some new directions in graph-based semi-supervised learning
X Zhu, AB Goldberg, T Khot
2009 IEEE International Conference on Multimedia and Expo, 1504-1507, 2009
282009
Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases
T Khot, S Natarajan, K Kersting, J Shavlik
Machine Learning 100 (1), 75-100, 2015
272015
Learning from imbalanced data in relational domains: A soft margin approach
S Yang, T Khot, K Kersting, G Kunapuli, K Hauser, S Natarajan
2014 IEEE International Conference on Data Mining, 1085-1090, 2014
232014
Boosted statistical relational learners: From benchmarks to data-driven medicine
S Natarajan, K Kersting, T Khot, J Shavlik
Springer, 2015
222015
Scaling lifted probabilistic inference and learning via graph databases
M Das, Y Wu, T Khot, K Kersting, S Natarajan
Proceedings of the 2016 SIAM International Conference on Data Mining, 738-746, 2016
202016
Exploiting causal independence in Markov logic networks: Combining undirected and directed models
S Natarajan, T Khot, D Lowd, P Tadepalli, K Kersting, J Shavlik
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
192010
Boosting relational dependency networks
S Natarajan, T Khot, K Kersting, B Gutmann, J Shavlik
Online Proceedings of the International Conference on Inductive Logic …, 2010
192010
Learning what is essential in questions
D Khashabi, T Khot, A Sabharwal, D Roth
Proceedings of the 21st Conference on Computational Natural Language …, 2017
182017
Question answering as global reasoning over semantic abstractions
D Khashabi, T Khot, A Sabharwal, D Roth
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
162018
Extracting adverse drug events from text using human advice
P Odom, V Bangera, T Khot, D Page, S Natarajan
Conference on Artificial Intelligence in Medicine in Europe, 195-204, 2015
162015
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