RESOURCEFUL 2023 - Workshop on Resources and Representations for Under-Resourced Languages and Domains, Proceedings of the 2nd

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ALYXM6HAS" target="_blank" >RIV/00216208:11320/23:LYXM6HAS - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175827116&partnerID=40&md5=7a76c926fe498c784ef386ff7690a10f" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175827116&partnerID=40&md5=7a76c926fe498c784ef386ff7690a10f</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

RESOURCEFUL 2023 - Workshop on Resources and Representations for Under-Resourced Languages and Domains, Proceedings of the 2nd

Popis výsledku v původním jazyce

"The proceedings contain 16 papers. The topics discussed include: Ableist language teaching over sign language research; the DA-ELEXIS corpus - a sense-annotated corpus for Danish with parallel annotations for nine European languages; sentiment analysis using aligned word embeddings for Uralic languages; what causes unemployment? unsupervised causality mining from Swedish governmental reports; are there any limits to English-Swedish language transfer? a fine-grained analysis using natural language inference; word substitution with masked language models as data augmentation for sentiment analysis; a large Norwegian dataset for weak supervision ASR; linked open data compliant representation of the interlinking of Nordic wordnets and sign language data; part-of-speech tagging Spanish sign language data and its applications in sign language machine translation; and building Okinawan lexicon resource for language reclamation/revitalization and natural language processing tasks such as universal dependencies treebanking."

Název v anglickém jazyce

RESOURCEFUL 2023 - Workshop on Resources and Representations for Under-Resourced Languages and Domains, Proceedings of the 2nd

Popis výsledku anglicky

"The proceedings contain 16 papers. The topics discussed include: Ableist language teaching over sign language research; the DA-ELEXIS corpus - a sense-annotated corpus for Danish with parallel annotations for nine European languages; sentiment analysis using aligned word embeddings for Uralic languages; what causes unemployment? unsupervised causality mining from Swedish governmental reports; are there any limits to English-Swedish language transfer? a fine-grained analysis using natural language inference; word substitution with masked language models as data augmentation for sentiment analysis; a large Norwegian dataset for weak supervision ASR; linked open data compliant representation of the interlinking of Nordic wordnets and sign language data; part-of-speech tagging Spanish sign language data and its applications in sign language machine translation; and building Okinawan lexicon resource for language reclamation/revitalization and natural language processing tasks such as universal dependencies treebanking."

Druh

B - Odborná kniha

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

978-195942973-9

Počet stran knihy

143

Název nakladatele

Association for Computational Linguistics

Místo vydání

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Kód UT WoS knihy

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