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Nikita Bhutani
Nikita Bhutani
Megagon Labs
Verified email at megagon.ai
Title
Cited by
Cited by
Year
Nested propositions in open information extraction
N Bhutani, HV Jagadish, D Radev
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
502016
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
382019
Open information extraction from question-answer pairs
N Bhutani, Y Suhara, WC Tan, A Halevy, HV Jagadish
arXiv preprint arXiv:1903.00172, 2019
142019
SubjQA: a dataset for subjectivity and review comprehension
J Bjerva, N Bhutani, B Golshan, WC Tan, I Augenstein
arXiv preprint arXiv:2004.14283, 2020
112020
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
102020
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
72018
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
62018
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
52020
Online Schemaless Querying of Heterogeneous Open Knowledge Bases
N Bhutani, HV Jagadish
Proceedings of the 28th ACM International Conference on Information and …, 2019
32019
Answering Complex Questions Using Curated and Extracted Knowledge Bases
N Bhutani
12019
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
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Articles 1–20