Comparison of Turkish proposition banks by frame matching

Basit Öğe Kaydı
dc.authorid0000-0002-7326-0423
dc.authorid0000-0001-5838-4615
dc.contributor.authorAk, Korayen_US
dc.contributor.authorBakay, Özgeen_US
dc.contributor.authorYıldız, Olcay Taneren_US
dc.date.accessioned2019-03-16T17:59:28Z
dc.date.available2019-03-16T17:59:28Z
dc.date.issued2018-12-06
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractBy indicating semantic relations between a predicate and its associated participants in a sentence and identifying the role-bearing constituents, SRL provides an extensive dataset to understand natural languages and to enhance several NLP applications such as information retrieval, machine translation, information extraction, and question answering. The availability of large resources and the development of statistical machine learning methods have increased the studies in the field of SRL. One of the widely-used semantic resources applied for multiple languages is PropBank. In this paper, PropBanks applied for Turkish are compared by checking semantic roles in the frame files of matched verb senses. As this integrated lexical resource for Turkish is aimed to be used in a multilingual resource along with English, creation of an inclusive lexical resource for Turkish is of great importance.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationAk, K., Bakay, O. & Yıldız, O. T. (2018). Comparison of turkish proposition banks by frame matching. Paper presented at the 2018 3rd International Conference on Computer Science and Engineering (UBMK), 352-356. doi:10.1109/UBMK.2018.8566426en_US
dc.identifier.doi10.1109/UBMK.2018.8566426
dc.identifier.endpage356
dc.identifier.isbn9781538678930
dc.identifier.isbn9781538678923
dc.identifier.isbn9781538678947
dc.identifier.scopus2-s2.0-85060603415
dc.identifier.scopusqualityN/A
dc.identifier.startpage352
dc.identifier.urihttps://hdl.handle.net/11729/1451
dc.identifier.urihttp://dx.doi.org/10.1109/UBMK.2018.8566426
dc.identifier.wosWOS:000459847400066
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorAk, Korayen_US
dc.institutionauthorYıldız, Olcay Taneren_US
dc.institutionauthorid0000-0001-5838-4615
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 3rd International Conference on Computer Science and Engineering (UBMK)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTurkish propbanken_US
dc.subjectLearning systemsen_US
dc.subjectMachine translationsen_US
dc.subjectMultiple languagesen_US
dc.subjectNatural languagesen_US
dc.subjectQuestion answeringen_US
dc.subjectSemantic relationsen_US
dc.subjectSemantic resourcesen_US
dc.subjectStatistical machine learningen_US
dc.titleComparison of Turkish proposition banks by frame matchingen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
1451.pdf
Boyut:
157.66 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Publisher's Version
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.71 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Bildiri Koleksiyonu | Bilgisayar Mühendisliği Bölümü
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu