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ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering

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Published in:PLOS ONE
Format: Online Article RSS Article
Published: 2026
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container_title PLOS ONE
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
id rss_article:7115
institution FRELIP
journal_source_facet PLOS ONE
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
subject_facet Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
title ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering
title_auth ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering
title_full ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering
title_fullStr ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering
title_full_unstemmed ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering
title_short ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering
title_sort visqa: a benchmark dataset and baseline models for vietnamese spoken question answering
topic Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0340771