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 | 76 | 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 | 71 | 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 | 44 | 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 | 25 | 2020 |
Open information extraction from question-answer pairs N Bhutani, Y Suhara, WC Tan, A Halevy, HV Jagadish arXiv preprint arXiv:1903.00172, 2019 | 25 | 2019 |
CompactIE: Compact facts in open information extraction FF Bayat, N Bhutani, HV Jagadish arXiv preprint arXiv:2205.02880, 2022 | 12 | 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 | 11 | 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 |
Rethinking language models as symbolic knowledge graphs V Mruthyunjaya, P Pezeshkpour, E Hruschka, N Bhutani arXiv preprint arXiv:2308.13676, 2023 | 9 | 2023 |
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 |
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 | 3 | 2023 |
Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks P Pezeshkpour, H Iso, T Lake, N Bhutani, E Hruschka arXiv preprint arXiv:2311.06383, 2023 | 2 | 2023 |
XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates H Zhang, H Iso, S Gurajada, N Bhutani arXiv preprint arXiv:2309.11063, 2023 | 2 | 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 |
Fairness-Aware Data Preparation for Entity Matching N Shahbazi, J Wang, Z Miao, N Bhutani 2024 IEEE 40th International Conference on Data Engineering (ICDE), 3476-3489, 2024 | 1 | 2024 |
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 | 1 | 2024 |
CompactIE: Compact Facts in Open Information Extraction F Fatahi Bayat, N Bhutani, HV Jagadish arXiv e-prints, arXiv: 2205.02880, 2022 | 1 | 2022 |