Deniz Zeyrek Bozşahin

E-mail

dezeyrek@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0001-9248-0141

Scopus Author ID

36055536300

Web of Science Researcher ID

M-8082-2017

Multiple Discourse Relations in English TED Talks and Their Translation into Lithuanian, Portuguese, and Turkish Zeyrek Bozşahin, Deniz; Oleškevičienė, Giedrė Valūnaitė; Mendes, Amália (2024-01-01) This paper focuses on multiple discourse relations, which refer to more than one sense relation between a pair of discourse segments. It shows how they are realized in English texts and their translations into Lithuanian, ...
Lightweight Connective Detection Using Gradient Boosting Erolcan Er, Mustafa; Kurfalı, Murathan; Zeyrek Bozşahin, Deniz (2024-01-01) In this work, we introduce a lightweight discourse connective detection system. Employing gradient boosting trained on straightforward, low-complexity features, this proposed approach sidesteps the computational demands of...
Revisiting the Hypophora Label in the TED Multilingual Discourse Bank. In: Workshop - Questions in Monologic Discourse, 56th Annual Meeting of the Societas Linguistica Europa (SLE). Zeyrek Bozşahin, Deniz; Mendes, Amalia (2023-08-01)
Toward a shallow discourse parser for Turkish Kutlu, Ferhat; Zeyrek Bozşahin, Deniz; Kurfalı, Murathan (2023-08-01)
Annotating and Disambiguating the Discourse Usage of the Enclitic dA in Turkish Ersöyleyen, Ebru; Zeyrek Bozşahin, Deniz; Öter, Fırat (2023-07-14)
Comment Clauses in Spoken Turkish: An Analysis of san/zannet/bil (presume/suppose/know)-predicates Zeyrek Bozşahin, Deniz (2023-06-25)
Explicitness and implicitness of discourse relations in a multilingual discourse bank Mendes, Amalia; Zeyrek Bozşahin, Deniz; Oleskeviciene, Giedre (2023-03-01) Proposals such as continuity and causality-by-default relate the level of expectedness of a relation to its linguistic marking as an explicit or implicit relation. We investigate these two proposals with regard to the Engl...
Usage disambiguation of Turkish discourse connectives Başıbüyük, Kezban; Zeyrek Bozşahin, Deniz (2023-01-01) This paper describes a rule-based approach and a machine learning approach to disambiguate the discourse usage of Turkish connectives, which not only has single and phrasal connectives as most languages do, but also suffix...
A description of Turkish Discourse Bank 1.2 and an examination of common dependencies in Turkish discourse Zeyrek Bozşahin, Deniz; Er, Mustafa Erolcan (2022-09-26)
Linking discourse-level information and the induction of bilingual discourse connective lexicons Özer, Sibel; Kurfall, Murathan; Zeyrek Bozşahin, Deniz; Mendes, Amália; Oleškevičiene, Giedre Valunaite (2022-6-20) The single biggest obstacle in performing comprehensive cross-lingual discourse analysis is the scarcity of multilingual resources. The existing resources are overwhelmingly monolingual, compelling researchers to infer the...

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