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Soham Parikh
Soham Parikh
ServiceNow Inc
Bestätigte E-Mail-Adresse bei servicenow.com
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Zitiert von
Zitiert von
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Eliminet: A model for eliminating options for reading comprehension with multiple choice questions
S Parikh, AB Sai, P Nema, MM Khapra
https://www.ijcai.org/Proceedings/2018/0594, 2019
282019
Exploring Zero and Few-shot Techniques for Intent Classification
S Parikh, Q Vohra, P Tumbade, M Tiwari
ACL Industry Track, 744-751, 2023
92023
Automated Utterance Generation
S Parikh, Q Vohra, M Tiwari
Proceedings of the AAAI Conference on Artificial Intelligence, IAAI …, 2020
42020
Lexicon development for covid-19-related concepts using open-source word embedding sources: an intrinsic and extrinsic evaluation
S Parikh, A Davoudi, S Yu, C Giraldo, E Schriver, D Mowery
JMIR medical informatics 9 (2), e21679, 2021
32021
Browsing health: Information extraction to support new interfaces for accessing medical evidence
S Parikh, E Conrad, O Agarwal, I Marshall, BC Wallace, A Nenkova
Proceedings of the Workshop on Extracting Structured Knowledge from …, 2019
12019
Improving Dialogue Act Recognition with Augmented Data
K Mahajan, S Parikh, Q Vohra, M Tiwari, S Shaikh
Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation …, 2022
2022
An Intrinsic and Extrinsic Evaluation of Learned COVID-19 Concepts using Open-Source Word Embedding Sources
S Parikh, A Davoudi, S Yu, C Giraldo, E Schriver, DL Mowery
medRxiv, 2020.12. 29.20249005, 2021
2021
An Intrinsic and Extrinsic Evaluation of Learned COVID-19 Concepts using Open-Source Word Embedding Sources (preprint)
S Parikh, A Davoudi, S Yu, C Giraldo, E Schriver, D Mowery
2021
Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples
S Parikh, AB Sai, P Nema, MM Khapra
arXiv preprint arXiv:1904.02665, 2019
2019
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