| Retrieval augmented language model pre-training K Guu, K Lee, Z Tung, P Pasupat, M Chang International Conference on Machine Learning, 3929-3938, 2020 | 409* | 2020 |
| Compositional semantic parsing on semi-structured tables P Pasupat, P Liang arXiv preprint arXiv:1508.00305, 2015 | 380 | 2015 |
| From language to programs: Bridging reinforcement learning and maximum marginal likelihood K Guu, P Pasupat, EZ Liu, P Liang arXiv preprint arXiv:1704.07926, 2017 | 162 | 2017 |
| Simpler context-dependent logical forms via model projections R Long, P Pasupat, P Liang arXiv preprint arXiv:1606.05378, 2016 | 73 | 2016 |
| Inferring logical forms from denotations P Pasupat, P Liang arXiv preprint arXiv:1606.06900, 2016 | 53 | 2016 |
| Query understanding enhanced by hierarchical parsing structures J Liu, P Pasupat, Y Wang, S Cyphers, J Glass 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 72-77, 2013 | 52 | 2013 |
| Asgard: A portable architecture for multilingual dialogue systems J Liu, P Pasupat, S Cyphers, J Glass 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 52 | 2013 |
| Reinforcement learning on web interfaces using workflow-guided exploration EZ Liu, K Guu, P Pasupat, T Shi, P Liang arXiv preprint arXiv:1802.08802, 2018 | 50 | 2018 |
| Zero-shot entity extraction from web pages P Pasupat, P Liang Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 46 | 2014 |
| Enriching word embeddings using knowledge graph for semantic tagging in conversational dialog systems A Celikyilmaz, D Hakkani-Tur, P Pasupat, R Sarikaya 2015 AAAI Spring Symposium Series, 2015 | 45 | 2015 |
| A conversational movie search system based on conditional random fields J Liu, S Cyphers, P Pasupat, I McGraw, J Glass Thirteenth Annual Conference of the International Speech Communication …, 2012 | 43 | 2012 |
| Macro grammars and holistic triggering for efficient semantic parsing Y Zhang, P Pasupat, P Liang arXiv preprint arXiv:1707.07806, 2017 | 41 | 2017 |
| Compositional generalization and natural language variation: Can a semantic parsing approach handle both? P Shaw, MW Chang, P Pasupat, K Toutanova arXiv preprint arXiv:2010.12725, 2020 | 38 | 2020 |
| Bootstrapped self training for knowledge base population G Angeli, V Zhong, D Chen, AT Chaganty, J Bolton, MJJ Premkumar, ... TAC, 2015 | 38 | 2015 |
| Spoc: Search-based pseudocode to code S Kulal, P Pasupat, K Chandra, M Lee, O Padon, A Aiken, PS Liang Advances in Neural Information Processing Systems 32, 2019 | 35 | 2019 |
| Automating crowd-supervised learning for spoken language systems I McGraw, S Cyphers, P Pasupat, J Liu, J Glass Thirteenth Annual Conference of the International Speech Communication …, 2012 | 26 | 2012 |
| Improving semantic parsing for task oriented dialog A Einolghozati, P Pasupat, S Gupta, R Shah, M Mohit, M Lewis, ... arXiv preprint arXiv:1902.06000, 2019 | 21 | 2019 |
| Unlocking compositional generalization in pre-trained models using intermediate representations J Herzig, P Shaw, MW Chang, K Guu, P Pasupat, Y Zhang arXiv preprint arXiv:2104.07478, 2021 | 19 | 2021 |
| Mapping natural language commands to web elements P Pasupat, TS Jiang, EZ Liu, K Guu, P Liang arXiv preprint arXiv:1808.09132, 2018 | 17 | 2018 |
| Span-based hierarchical semantic parsing for task-oriented dialog P Pasupat, S Gupta, K Mandyam, R Shah, M Lewis, L Zettlemoyer Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 11 | 2019 |
Percy LiangAssociate Professor of Computer Science, Stanford UniversityBestätigte E-Mail-Adresse bei cs.stanford.edu
