This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (37) Information Retrieval (271) Artificial Intelligence (1214) Clinical Information and Decision Making (1339) Development and Evaluation of Research Methods, Instruments and Tools (439) Artificial Intelligence (122)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43483, first published .
Identifying the Question Similarity of Regulatory Documents in the Pharmaceutical Industry by Using the Recognizing Question Entailment System: Evaluation Study

Identifying the Question Similarity of Regulatory Documents in the Pharmaceutical Industry by Using the Recognizing Question Entailment System: Evaluation Study

Identifying the Question Similarity of Regulatory Documents in the Pharmaceutical Industry by Using the Recognizing Question Entailment System: Evaluation Study

Authors of this article:

Nidhi Saraswat1 Author Orcid Image ;   Chuqin Li1 Author Orcid Image ;   Min Jiang1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Nidhi Saraswat   1 * , MSc ;   Chuqin Li   1 * , PhD ;   Min Jiang   1 , PhD

1 Eli Lilly and Company, Indianapolis, IN, United States

*these authors contributed equally

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