Nikita Bhutani
Nikita Bhutani
Megagon Labs
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Cited by
Cited by
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
Nested propositions in open information extraction
N Bhutani, HV Jagadish, D Radev
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 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
Open information extraction from question-answer pairs
N Bhutani, Y Suhara, WC Tan, A Halevy, HV Jagadish
arXiv preprint arXiv:1903.00172, 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
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
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
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
CompactIE: Compact facts in open information extraction
FF Bayat, N Bhutani, HV Jagadish
arXiv preprint arXiv:2205.02880, 2022
CompactIE: Compact Facts in Open Information Extraction
F Fatahi Bayat, N Bhutani, HV Jagadish
arXiv e-prints, arXiv: 2205.02880, 2022
Resolving queries using structured and unstructured data
K Qian, Y Li, N Bhutani
US Patent 11,841,883, 2023
Rethinking language models as symbolic knowledge graphs
V Mruthyunjaya, P Pezeshkpour, E Hruschka, N Bhutani
arXiv preprint arXiv:2308.13676, 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
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
Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models?
SR Choudhury, N Bhutani, I Augenstein
arXiv preprint arXiv:2109.07102, 2021
Online Schemaless Querying of Heterogeneous Open Knowledge Bases
N Bhutani, HV Jagadish
Proceedings of the 28th ACM International Conference on Information and …, 2019
Entity structured representation and variant generation
N Bhutani, M Hernandez-Sherrington, Y Li, M Li, K Qian
US Patent 10,585,986, 2020
Answering Complex Questions Using Curated and Extracted Knowledge Bases
N Bhutani
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
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
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