2019Unpublished venueOpen access

Question Answering in the Biomedical Domain

Vincent Nguyen

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Abstract

Question answering techniques have mainly been investigated in open domains.However, there are particular challenges in extending these open-domain techniques to extend into the biomedical domain.Question answering focusing on patients is less studied.We find that there are some challenges in patient question answering such as limited annotated data, lexical gap and quality of answer spans.We aim to address some of these gaps by extending and developing upon the literature to design a question answering system that can decide on the most appropriate answers for patients attempting to self-diagnose while including the ability to abstain from answering when confidence is low.

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What this paper is about

Question answering techniques have mainly been investigated in open domains.However, there are particular challenges in extending these open-domain techniques to extend into the biomedical domain.Question answering focusing on patients is less studied.We find that there are some challenges in patient question answering such as limited annotated data, lexical gap and quality of answer spans.We aim to address some of these gaps by extending and developing upon the literature to design a question answering system that can decide on the most appropriate answers for patients attempting to self-diagnose while including the ability to abstain from answering when confidence is low.

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Available abstract

Question answering techniques have mainly been investigated in open domains.However, there are particular challenges in extending these open-domain techniques to extend into the biomedical domain.Question answering focusing on patients is less studied.We find that there are some challenges in patient question answering such as limited annotated data, lexical gap and quality of answer spans.We aim to address some of these gaps by extending and developing upon the literature to design a question answering system that can decide on the most appropriate answers for patients attempting to self-diagnose while including the ability to abstain from answering when confidence is low.

Key concepts: Question answering, Open domain, Computer science, Domain (mathematical analysis), Information retrieval, Quality (philosophy), Epistemology, Mathematics

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