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Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval
April 15, 2024, 4:47 a.m. | Juraj Vladika, Florian Matthes
cs.CL updates on arXiv.org arxiv.org
Abstract: In today's digital world, seeking answers to health questions on the Internet is a common practice. However, existing question answering (QA) systems often rely on using pre-selected and annotated evidence documents, thus making them inadequate for addressing novel questions. Our study focuses on the open-domain QA setting, where the key challenge is to first uncover relevant evidence in large knowledge bases. By utilizing the common retrieve-then-read QA pipeline and PubMed as a trustworthy collection of …
abstract arxiv cs.ai cs.cl cs.ir digital digital world documents domain evidence health however improving internet making novel practice question question answering questions retrieval study systems them type world
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