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Contextual Query Expansion for Conducting Technology-Assisted Biomedical Reviews

Published onMay 27, 2022
Contextual Query Expansion for Conducting Technology-Assisted Biomedical Reviews
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Abstract

Given a biomedical research question, formalizing a query for retrieving relevant evidence from Biomedical data-sets is an important methodological step in conducting literature reviews and has been the topic of a number of works on technology-assisted reviews. In this paper, we provide a deep structure that learns to effectively generate terms for expanding Biomedical queries for searching over the data-sets referenced by PubMed, the major search system for Biomedical studies. We use and fine-tune BERT for modelling contextual relationship among terms in the textual content. We evaluate our work on the CORD-19 data-set and show its effectiveness compared with the baselines


Article ID: 2022L24

Month: May

Year: 2022

Address: Online

Venue: Canadian Conference on Artificial Intelligence

Publisher: Canadian Artificial Intelligence Association

URL: https://caiac.pubpub.org/pub/jzs7evcl


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