Never-ending learning T Mitchell, W Cohen, E Hruschka, P Talukdar, B Yang, J Betteridge, ... Communications of the ACM 61 (5), 103-115, 2018 | 1366 | 2018 |
Learning a neural semantic parser from user feedback S Iyer, I Konstas, A Cheung, J Krishnamurthy, L Zettlemoyer arXiv preprint arXiv:1704.08760, 2017 | 408 | 2017 |
Neural semantic parsing with type constraints for semi-structured tables J Krishnamurthy, P Dasigi, M Gardner Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 260 | 2017 |
Incorporating vector space similarity in random walk inference over knowledge bases M Gardner, P Talukdar, J Krishnamurthy, T Mitchell Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 222 | 2014 |
Jointly learning to parse and perceive: Connecting natural language to the physical world J Krishnamurthy, T Kollar Transactions of the Association for Computational Linguistics 1, 193-206, 2013 | 208 | 2013 |
Weakly Supervised Training of Semantic Parsers J Krishnamurthy, TM Mitchell | 177 | 2012 |
Instructable intelligent personal agent A Azaria, J Krishnamurthy, T Mitchell Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 105 | 2016 |
The MD6 hash function–a proposal to NIST for SHA-3 RL Rivest, B Agre, DV Bailey, C Crutchfield, Y Dodis, KE Fleming, A Khan, ... Submission to NIST 2 (3), 1-234, 2008 | 91 | 2008 |
Task-oriented dialogue as dataflow synthesis J Andreas, J Bufe, D Burkett, C Chen, J Clausman, J Crawford, K Crim, ... Transactions of the Association for Computational Linguistics 8, 556-571, 2020 | 82 | 2020 |
Joint syntactic and semantic parsing with combinatory categorial grammar J Krishnamurthy, T Mitchell Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 52 | 2014 |
Which noun phrases denote which concepts? J Krishnamurthy, T Mitchell Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 48 | 2011 |
Vector space semantic parsing: A framework for compositional vector space models J Krishnamurthy, T Mitchell Proceedings of the Workshop on Continuous Vector Space Models and their …, 2013 | 46 | 2013 |
Toward Interactive Grounded Language Acqusition. T Kollar, J Krishnamurthy, GP Strimel Robotics: Science and systems 1, 721-732, 2013 | 44 | 2013 |
Subhro Roy J Andreas, J Bufe, D Burkett, C Chen, J Clausman, J Crawford, K Crim, ... Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su …, 2020 | 43 | 2020 |
Learning a compositional semantics for freebase with an open predicate vocabulary J Krishnamurthy, TM Mitchell Transactions of the Association for Computational Linguistics 3, 257-270, 2015 | 43 | 2015 |
Structured set matching networks for one-shot part labeling J Choi, J Krishnamurthy, A Kembhavi, A Farhadi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 38 | 2018 |
Semantic parsing to probabilistic programs for situated question answering J Krishnamurthy, O Tafjord, A Kembhavi arXiv preprint arXiv:1606.07046, 2016 | 35 | 2016 |
An interface for targeted collection of common sense knowledge using a mixture model R Speer, J Krishnamurthy, C Havasi, D Smith, H Lieberman, K Arnold Proceedings of the 14th international conference on intelligent user …, 2009 | 32 | 2009 |
Open-vocabulary semantic parsing with both distributional statistics and formal knowledge M Gardner, J Krishnamurthy Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 29 | 2017 |
The MD6 hash function RL Rivest, B Agre, DV Bailey, C Crutchfield, Y Dodis, KE Fleming, A Khan, ... Invited talk at CRYPTO, 2008 | 26 | 2008 |