Automatic Derivation of Semantic Representations for Thai Serial Verb Constructions: A Grammar-Based Approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AE3LPQPPR" target="_blank" >RIV/00216208:11320/25:E3LPQPPR - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204066556&partnerID=40&md5=7e202578440e489de18e4669214d80ae" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204066556&partnerID=40&md5=7e202578440e489de18e4669214d80ae</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automatic Derivation of Semantic Representations for Thai Serial Verb Constructions: A Grammar-Based Approach
Original language description
Deep semantic representations are useful for many NLU tasks (Droganova and Zeman, 2019; Schuster and Manning, 2016). Manual annotation to build these representations is time-consuming, and so automatic approaches are preferred (Droganova and Zeman, 2019; Bender et al., 2015). This paper demonstrates how rich semantic representations can be automatically derived for Thai Serial Verb Constructions (SVCs), where the semantic relationship between component verbs is not immediately clear from the surface forms. I present the first fully-implemented, unified analysis for Thai SVCs, deriving appropriate semantic representations (MRS; Copestake et al., 2005) from syntactic features, implemented within a DELPH-IN computational grammar (Slayden, 2009). This analysis increases verified coverage of SVCs by 73% and decreases ambiguity by 46%. The final grammar can be found at: https://github.com/VipashaB94/ThaiGrammar ©2024 Association for Computational Linguistics.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. Annu. Meet. Assoc. Comput Linguist.
ISBN
979-889176097-4
ISSN
0736-587X
e-ISSN
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Number of pages
16
Pages from-to
422-437
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Bangkok
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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