| Learning to answer complex questions over knowledge bases with query composition N Bhutani, X Zheng, HV Jagadish Proceedings of the 28th ACM international conference on information and …, 2019 | 70 | 2019 |
| Nested propositions in open information extraction N Bhutani, HV Jagadish, D Radev Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 69 | 2016 |
| Subjqa: A dataset for subjectivity and review comprehension J Bjerva, N Bhutani, B Golshan, WC Tan, I Augenstein arXiv preprint arXiv:2004.14283, 2020 | 33 | 2020 |
| Open information extraction from question-answer pairs N Bhutani, Y Suhara, WC Tan, A Halevy, HV Jagadish arXiv preprint arXiv:1903.00172, 2019 | 22 | 2019 |
| Answering complex questions by combining information from curated and extracted knowledge bases N Bhutani, X Zheng, K Qian, Y Li, H Jagadish Proceedings of the first workshop on natural language interfaces, 1-10, 2020 | 19 | 2020 |
| CompactIE: Compact facts in open information extraction FF Bayat, N Bhutani, HV Jagadish arXiv preprint arXiv:2205.02880, 2022 | 11 | 2022 |
| Exploiting structure in representation of named entities using active learning N Bhutani, K Qian, Y Li, HV Jagadish, M Hernandez, M Vasa Proceedings of the 27th International Conference on Computational …, 2018 | 10 | 2018 |
| Lustre: An interactive system for entity structured representation and variant generation K Qian, N Bhutani, Y Li, HV Jagadish, M Hernandez 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1613-1616, 2018 | 10 | 2018 |
| Sampo: Unsupervised knowledge base construction for opinions and implications N Bhutani, A Traylor, C Chen, X Wang, B Golshan, WC Tan Automated Knowledge Base Construction, 2020 | 9 | 2020 |
| Rethinking language models as symbolic knowledge graphs V Mruthyunjaya, P Pezeshkpour, E Hruschka, N Bhutani arXiv preprint arXiv:2308.13676, 2023 | 5 | 2023 |
| Zero-shot triplet extraction by template infilling B Kim, H Iso, N Bhutani, E Hruschka, N Nakashole, T Mitchell arXiv preprint arXiv:2212.10708, 2022 | 2 | 2022 |
| Low-resource entity set expansion: a comprehensive study on user-generated text Y Shao, N Bhutani, S Rahman, E Hruschka Findings of the Association for Computational Linguistics: NAACL 2022, 1343-1353, 2022 | 2 | 2022 |
| Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? SR Choudhury, N Bhutani, I Augenstein arXiv preprint arXiv:2109.07102, 2021 | 2 | 2021 |
| Online Schemaless Querying of Heterogeneous Open Knowledge Bases N Bhutani, HV Jagadish Proceedings of the 28th ACM International Conference on Information and …, 2019 | 2 | 2019 |
| Less is More for Long Document Summary Evaluation by LLMs Y Wu, H Iso, P Pezeshkpour, N Bhutani, E Hruschka arXiv preprint arXiv:2309.07382, 2023 | 1 | 2023 |
| CompactIE: Compact Facts in Open Information Extraction F Fatahi Bayat, N Bhutani, HV Jagadish arXiv e-prints, arXiv: 2205.02880, 2022 | 1 | 2022 |
| Answering Complex Questions Using Curated and Extracted Knowledge Bases N Bhutani | 1 | 2019 |
| Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models S Maekawa, H Iso, S Gurajada, N Bhutani arXiv preprint arXiv:2402.13492, 2024 | | 2024 |
| Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions P Pezeshkpour, E Kandogan, N Bhutani, S Rahman, T Mitchell, ... arXiv preprint arXiv:2402.01108, 2024 | | 2024 |
| Resolving queries using structured and unstructured data K Qian, Y Li, N Bhutani US Patent 11,841,883, 2023 | | 2023 |
