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Published in 2023 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2023.3243676
Abstract: Open-domain question answering (OpenQA) is an essential but challenging task in natural language processing that aims to answer questions in natural language formats on the basis of large-scale unstructured passages. Recent research has taken the…
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Keywords:
domain;
open domain;
decision;
domain question ... See more keywords
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Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11146421
Abstract: Open domain question answering (OpenQA) tasks have been recently attracting more and more attention from the natural language processing (NLP) community. In this work, we present the first free-form multiple-choice OpenQA dataset for solving medical…
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Keywords:
open domain;
domain question;
question answering;
disease patient ... See more keywords
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1
Published in 2023 at "Future Internet"
DOI: 10.3390/fi15050180
Abstract: In the two-stage open-domain question answering (OpenQA) systems, the retriever identifies a subset of relevant passages, which the reader then uses to extract or generate answers. However, the performance of OpenQA systems is often hindered…
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Keywords:
query expansion;
open domain;
expansion;
domain question ... See more keywords
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1
Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.952
Abstract: Open-domain question answering (OpenQA) is one of the most challenging yet widely investigated problems in natural language processing. It aims at building a system that can answer any given question from large-scale unstructured text or…
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Keywords:
question;
retrieval;
passage;
deep learning ... See more keywords