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pro vyhledávání: '"Computing methodologies → Natural language processing"'
Akademický článek
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This report documents the program and the outcomes of Dagstuhl Seminar 22232 "Efficient and Equitable Natural Language Processing in the Age of Deep Learning". Since 2012, the field of artificial intelligence (AI) has reported remarkable progress on
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https://explore.openaire.eu/search/publication?articleId=doi_________::8b367c4d40faa4ba3a657182231fbc06
This report documents the programme and outcomes of Dagstuhl Seminar 22372 "Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century" held in September 2022. The seminar aimed to gain a better understanding of the way knowledg
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https://explore.openaire.eu/search/publication?articleId=doi_________::139f5c8e075908ab79548012cb6c404b
Akademický článek
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Following the current interest in developing automatic question answering systems, we analyse alternative approaches for finding suitable answers from a list of Frequently Asked Questions (FAQs), in Portuguese. These rely on different technologies, s
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https://explore.openaire.eu/search/publication?articleId=doi_________::e5e9cf62481d6e5c371a0b0f1e9a7a99
Front Matter, Table of Contents, Preface, Conference Organization
OASIcs, Vol. 104, 11th Symposium on Languages, Applications and Technologies (SLATE 2022), pages 0:i-0:xiv
OASIcs, Vol. 104, 11th Symposium on Languages, Applications and Technologies (SLATE 2022), pages 0:i-0:xiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b03b624d2f30d59adb1442029c3df6db
Autor:
Collins, Christopher, Fokkens, Antske, Kerren, Andreas, Weaver, Chris, Chatzimparmpas, Angelos
Text data is one of the most abundant types of data available, produced every day across all domains of society. Understanding the contents of this data can support important policy decisions, help us understand society and culture, and improve busin
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https://explore.openaire.eu/search/publication?articleId=doi_________::c7a3de142ce403d45045ee6da07f0ad7
Representing words with semantic distributions to create ML models is a widely used technique to perform Natural Language processing tasks. In this paper, we trained word embedding models with different types of Portuguese corpora, analyzing the infl
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https://explore.openaire.eu/search/publication?articleId=doi_________::6be151567e38cf6f34ded31e4ed59807
OASIcs, Volume 104, SLATE 2022, Complete Volume
OASIcs, Vol. 104, 11th Symposium on Languages, Applications and Technologies (SLATE 2022), pages 1-242
OASIcs, Vol. 104, 11th Symposium on Languages, Applications and Technologies (SLATE 2022), pages 1-242
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d01cd3235f9cbb1ceb1c2a9371a3d63b
https://drops.dagstuhl.de/opus/volltexte/2022/16745/
https://drops.dagstuhl.de/opus/volltexte/2022/16745/
Autor:
Lafourcade, Mathieu
The JeuxDeMots project aims at building a very large knowledge base in French, both common sense and specialized, using games, contributory approaches, and inference mechanisms. A dozen games have been designed as part of this project, each one allow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93af2737f3b7412e1111cdb859f7ec2c