| Nested propositions in open information extraction N Bhutani, HV Jagadish, D Radev Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 50 | 2016 |
| 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 | 38 | 2019 |
| Open information extraction from question-answer pairs N Bhutani, Y Suhara, WC Tan, A Halevy, HV Jagadish arXiv preprint arXiv:1903.00172, 2019 | 14 | 2019 |
| SubjQA: a dataset for subjectivity and review comprehension J Bjerva, N Bhutani, B Golshan, WC Tan, I Augenstein arXiv preprint arXiv:2004.14283, 2020 | 11 | 2020 |
| 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 | 10 | 2020 |
| 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 | 7 | 2018 |
| 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 | 6 | 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 | 5 | 2020 |
| Online Schemaless Querying of Heterogeneous Open Knowledge Bases N Bhutani, HV Jagadish Proceedings of the 28th ACM International Conference on Information and …, 2019 | 3 | 2019 |
| Answering Complex Questions Using Curated and Extracted Knowledge Bases N Bhutani | 1 | 2019 |
| CompactIE: Compact Facts in Open Information Extraction FF Bayat, N Bhutani, HV Jagadish arXiv preprint arXiv:2205.02880, 2022 | | 2022 |
| Proceedings of the 2nd Workshop on Deriving Insights from User-Generated Text E Hruschka, T Mitchell, D Mladenic, M Grobelnik, N Bhutani Proceedings of the 2nd Workshop on Deriving Insights from User-Generated Text, 2022 | | 2022 |
| Distilling Salient Reviews with Zero Labels CY Huang, J Li, N Bhutani, A Whedon, E Hruschka, Y Suhara Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER …, 2022 | | 2022 |
| CompactIE: Compact Facts in Open Information Extraction F Fatahi Bayat, N Bhutani, HV Jagadish arXiv e-prints, arXiv: 2205.02880, 2022 | | 2022 |
| Extracting Salient Facts from Company Reviews with Scarce Labels J Li, N Bhutani, A Whedon, CY Huang, E Hruschka, Y Suhara Extracting Salient Facts from Company Reviews with Scarce Labels 3 (1), 9, 2022 | | 2022 |
| Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? SR Choudhury, N Bhutani, I Augenstein arXiv preprint arXiv:2109.07102, 2021 | | 2021 |
| Powering Effective Climate Communication with a Climate Knowledge Base KB Rodrigues, S Khushu, M Mukherjee, A Banister, A Hevia, S Duddu, ... arXiv preprint arXiv:2107.11351, 2021 | | 2021 |
| Resolving queries using structured and unstructured data K Qian, Y Li, N Bhutani US Patent App. 16/559,351, 2021 | | 2021 |
| Entity structured representation and variant generation N Bhutani, M Hernandez-Sherrington, Y Li, M Li, K Qian US Patent 10,585,986, 2020 | | 2020 |
| Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text Y Shao, N Bhutani, S Rahman, E Hruschka | | |
