Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Automatic sense prediction of explicit discourse connectives in Turkish with the help of centering theory and morphosyntactic features
Download
index.pdf
Date
2018
Author
Çetin, Savaş
Metadata
Show full item record
Item Usage Stats
257
views
82
downloads
Cite This
Discourse connectives (and, but, however) are one of many means of keeping the discourse coherent. Discourse connectives are classified into groups based on their senses (expansion, contingency, etc.). They describe the semantic relationship of two discourse units. This study aims to build a machine learning system to predict the sense of explicit discourse connectives on the Turkish Discourse Bank data, which is manually gold-annotated. To do so, this study examines the effect of several features: i.e. transitions of Centering Theory and morphosyntactic characteristics of main verbs of the arguments in a discourse relation. The results imply that Centering Theory, morphosyntactic features and their combinations affect each class of sense in a different way. When the base score is calculated with only the connective feature, the addition of Centering Theory features seems to have increased the predictions scores for Comparison and Expansion classes. Also, Tense, Aspect and Modality features are observed to slightly affect the Temporal class in a positive way.
Subject Keywords
Discourse analysis.
,
Turkish language
,
Supervised learning (Machine learning).
,
Grammar, Comparative and general
URI
http://etd.lib.metu.edu.tr/upload/12621925/index.pdf
https://hdl.handle.net/11511/27171
Collections
Graduate School of Informatics, Thesis
Suggestions
OpenMETU
Core
Automatic sense prediction of implicit discourse relations in Turkish
Kurfalı, Murathan; Zeyrek Bozşahin, Deniz; Department of Cognitive Sciences (2016)
In discourse parsing, the sense prediction of the Implicit discourse relations poses the most significant challenge. The thesis aims to develop a supervised system to predict the sense of implicit discourse relations in Turkish Discourse Bank (TDB). In order to accomplish that goal, the discourse level annotations obtained from TDB are used. TDB follows the PDTB-2’s sense hierarchy and for all experiments within the current study, only CLASS senses are considered. As the primary experiment, the classifiers ...
The Development of narrative skills in Turkish-speaking children: a complexity approach
Ögel Balaban, Hale; Hohenberger, Annette Edeltraud; Department of Cognitive Sciences (2015)
Narrative is a complex form of discourse. Creating it requires “a joint process of event comprehension and language production” (Trabasso & Rodkin, 1994, p.87), and understanding and explaining behaviors and emotions of others through perspective taking. In the present study, it is claimed that these requirements map into three levels of complexity: 1) Plot complexity reflecting the temporal and thematic organization of the narrative in a coherent manner, 2) Evaluative complexity indicating the narrator’s p...
Discovering the discourse role of converbs in Turkish discourse
Acar, Ahmet Faruk; Zeyrek Bozşahin, Deniz; Department of Cognitive Sciences (2014)
The subordinate verb forms that occur in non-finite adverbial clauses are called converbs (Göksel & Kerslake , 2005). In Turkish, converbs can be discourse connectives as well as acting as the complement of a factive verb or an adverbial. We morphologically analyzed 15 converbs in Turkish Discourse Bank to find out possible morpho-syntactic features in order to distinguish different roles of these converbs. The aim of the study is to find out all possible roles of the converbs and the source of ambiguities ...
Assessment of the Turkish discourse bank and a cascaded model to automatically identify discursive phrasal expressions in Turkish
Sevdik Çallı, Ayışığı Başak; Zeyrek Bozşahin, Deniz; Department of Cognitive Sciences (2015)
This thesis presents a methodology for an overall assessment of the Turkish Discourse Bank (TDB), a linguistic resource where discourse relations overtly expressed by discourse connectives have been identified and annotated with the two arguments they relate. We provide a quantitative and qualitative assessment of the TDB in order to establish the reliability of this discourse resource for Turkish and suggest that our methodology can be utilized for reliability evaluations of other annotated corpora. Our qu...
A Corpus-based comparative study of anyway in English and her/neyse in Turkish/
Aytaç, Kadriye; Işık Güler, Hale; Department of English Language Teaching (2014)
This thesis is primarily concerned with the differences and similarities between anyway and her/neyse. Moreover, this thesis aims to compare these two seemingly synonym words, anyway and her/neyse, in terms of their frequency, position, specific functions and collocations in fiction works in three different corpora; TNC, BNC and COCA. Both anyway and her/neyse have discourse marker uses and adverbial uses. Some of the functions defined are common for both of the markers while some of them are distinctive fu...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Çetin, “Automatic sense prediction of explicit discourse connectives in Turkish with the help of centering theory and morphosyntactic features,” M.S. - Master of Science, Middle East Technical University, 2018.