Publication: Building the Turkish FrameNet
dc.contributor.author | Marşan, B. | |
dc.contributor.author | Kara, N. | |
dc.contributor.author | Özçelik, M. | |
dc.contributor.author | Arıcan, B. N. | |
dc.contributor.author | Cesur, N. | |
dc.contributor.author | Kuzgun, A. | |
dc.contributor.author | Sanıyar, E. | |
dc.contributor.author | Yıldız, Olcay Taner | |
dc.contributor.department | Computer Science | |
dc.contributor.ozuauthor | YILDIZ, Olcay Taner | |
dc.date.accessioned | 2023-05-24T08:43:46Z | |
dc.date.available | 2023-05-24T08:43:46Z | |
dc.date.issued | 2021 | |
dc.description.abstract | FrameNet (Lowe, 1997; Baker et al., 1998; Fillmore and Atkins, 1998; Johnson et al., 2001) is a computational lexicography project that aims to offer insight into the semantic relationships between predicate and arguments. Having uses in many NLP applications, FrameNet has proven itself as a valuable resource. The main goal of this study is laying the foundation for building a comprehensive and cohesive Turkish FrameNet that is compatible with other resources like PropBank (Kara et al., 2020) or WordNet (Bakay et al., 2019; Ehsani, 2018; Ehsani et al., 2018; Parlar et al., 2019; Bakay et al., 2020) in the Turkish language. | en_US |
dc.identifier.endpage | 125 | en_US |
dc.identifier.isbn | 978-946402731-0 | |
dc.identifier.scopus | 2-s2.0-85107282347 | |
dc.identifier.startpage | 118 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/8332 | |
dc.language.iso | eng | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Global WordNet Association | en_US |
dc.relation.ispartof | Proceedings of the 11th Global Wordnet Conference | |
dc.relation.publicationcategory | International | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Building the Turkish FrameNet | en_US |
dc.type | conferenceObject | en_US |
dspace.entity.type | Publication | |
relation.isOrgUnitOfPublication | 85662e71-2a61-492a-b407-df4d38ab90d7 | |
relation.isOrgUnitOfPublication.latestForDiscovery | 85662e71-2a61-492a-b407-df4d38ab90d7 |
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