| Evaluating NLP Models via Contrast Sets M Gardner, Y Artzi, V Basmova, J Berant, B Bogin, S Chen, P Dasigi, ... Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 452* | 2020 |
| Entity Linking via Joint Encoding of Types, Descriptions, and Context N Gupta, S Singh, D Roth Conference on Empirical Methods in Natural Language Processing (EMNLP) 2017 …, 2017 | 267 | 2017 |
| Neural Module Networks for Reasoning over Text N Gupta, K Lin, D Roth, S Singh, M Gardner The International Conference on Learning Representations (ICLR) 2020, 2020 | 145 | 2020 |
| Improving Compositional Generalization in Semantic Parsing I Oren, J Herzig, N Gupta, M Gardner, J Berant Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 68 | 2020 |
| Obtaining Faithful Interpretations from Compositional Neural Networks S Subramanian, B Bogin, N Gupta, T Wolfson, S Singh, J Berant, ... Association for Computational Linguistics (ACL) 2020, 2020 | 55 | 2020 |
| Joint Multilingual Supervision for Cross-Lingual Entity Linking S Upadhyay, N Gupta, D Roth Conference on Empirical Methods in Natural Language Processing (EMNLP) 2018, 2018 | 48 | 2018 |
| Robust Named Entity Recognition with Truecasing Pretraining S Mayhew, N Gupta, D Roth Proceedings of the AAAI Conference on Artificial Intelligence 2020, 2020 | 38 | 2020 |
| Neural Compositional Denotational Semantics for Question Answering N Gupta, M Lewis Conference on Empirical Methods in Natural Language Processing (EMNLP) 2018, 2018 | 26 | 2018 |
| Revisiting the Evaluation for Cross Document Event Coreference DR Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos Computational Linguistics (COLING) 2016, 2016 | 22* | 2016 |
| Llm augmented llms: Expanding capabilities through composition R Bansal, B Samanta, S Dalmia, N Gupta, S Vashishth, S Ganapathy, ... arXiv preprint arXiv:2401.02412, 2024 | 19 | 2024 |
| Xtreme-up: A user-centric scarce-data benchmark for under-represented languages S Ruder, JH Clark, A Gutkin, M Kale, M Ma, M Nicosia, S Rijhwani, P Riley, ... arXiv preprint arXiv:2305.11938, 2023 | 18 | 2023 |
| Overestimation of Syntactic Representationin Neural Language Models J Kodner, N Gupta Association for Computational Linguistics (ACL) 2020, 2020 | 15 | 2020 |
| Paired examples as indirect supervision in latent decision models N Gupta, S Singh, M Gardner, D Roth Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021, 2021 | 10 | 2021 |
| Collectively Embedding Multi-Relational Data for Predicting User Preferences N Gupta, S Singh arXiv preprint arXiv:1504.06165, 2015 | 10 | 2015 |
| What do we expect from Multiple-choice QA Systems? K Shah, N Gupta, D Roth Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 8 | 2020 |
| UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference. C Duncan, LW Chan, H Peng, H Wu, S Upadhyay, N Gupta, CT Tsai, ... TAC, 2017 | 7 | 2017 |
| Bootstrapping multilingual semantic parsers using large language models A Awasthi, N Gupta, B Samanta, S Dave, S Sarawagi, P Talukdar arXiv preprint arXiv:2210.07313, 2022 | 6 | 2022 |
| Qa is the new kr: Question-answer pairs as knowledge bases WW Cohen, W Chen, M De Jong, N Gupta, A Presta, P Verga, J Wieting Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15385 …, 2023 | 5 | 2023 |
| Enforcing Consistency in Weakly Supervised Semantic Parsing N Gupta, S Singh, M Gardner Association for Computational Linguistics (ACL) 2021, 2021 | 5 | 2021 |
| IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages H Singh, N Gupta, S Bharadwaj, D Tewari, P Talukdar arXiv preprint arXiv:2404.16816, 2024 | 3 | 2024 |
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
