Pair Annotation as a Novel Annotation Procedure: The Case of Turkish Discourse Bank

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2017-6-17

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Demirşahin, Işın
Zeyrek Bozşahin, Deniz

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In this chapter, we provide an overview of Turkish Discourse Bank, a resource of ∼∼400,000 words built on a sub-corpus of the 2-million-word METU Turkish Corpus annotated following the principles of Penn Discourse Tree Bank. We first present the annotation framework we adopted, explaining how it differs from the annotation of the original language, English. Then we focus on a novel annotation procedure that we have devised and named pair annotation after pair programming. We discuss the advantages it has offered as well as its potential drawbacks.

Subject Keywords

Discourse connective, Discourse structure, Turkish discourse, Pair program-ming, Pair annotation

URI

https://hdl.handle.net/11511/68723

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Graduate School of Informatics, Book / Book chapter

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Pair Annotation as a Novel Annotation Procedure: The Case of Turkish Discourse Bank Demirşahin, Işın; Zeyrek Bozşahin, Deniz (Springer, 2017-01-01) In this chapter, we provide an overview of Turkish Discourse Bank, a resource of ∼ 400,000 words built on a sub-corpus of the 2-million-word METU Turkish Corpus annotated following the principles of Penn Discourse Tree Bank. We first present the annotation framework we adopted, explaining how it differs from the annotation of the original language, English. Then we focus on a novel annotation procedure that we have devised and named pair annotation after pair programming. We discuss the advantages it has ...
An Assessment of Explicit Inter- and Intra-sentential Discourse Connectives in Turkish Discourse Bank Zeyrek Bozşahin, Deniz (null; 2018-05-07) The paper offers a quantitative and qualitative analysis of explicit inter- and intra-sentential discourse connectives in Turkish Discourse Bank, or TDB version 1.1, a multi-genre resource of written Turkish manually annotated at the discourse level following the goals and principles of Penn Discourse TreeBank. TDB 1.1 is a 40K-word corpus involving all major discourse relation types (explicit discourse relations at intra- and inter-sentential positions, implicit discourse relations, alternative lexicalizat...
Automatic disambiguation of Turkish discourse connectives based on a Turkish connective lexicon Başıbüyük, Kezban; Doğru, Ali Hikmet; Zeyrek Bozşahin, Deniz; Department of Computer Engineering (2021-8-31) In this thesis, we developed methods for disambiguating the discourse usage and sense of connectives in a given free Turkish text. For this purpose, we firstly built a comprehensive Turkish Connective Lexicon (TCL) including all types of connectives in Turkish together with their syntactic and semantic features. This lexicon is built automatically by using the discourse relation annotations in several discourse annotated corpora developed for Turkish and follows the format of the German connective lexicon, ...
Turkish Discourse Bank: Porting a discourse annotation style to a morphologically rich language Zeyrek Bozşahin, Deniz; Sevdik Çallı, Ayışığı B.; Çakıcı, Ruket (2013-05-01) This paper briefly describes the Turkish Discourse Bank, the first publicly available annotated discourse resource for Turkish. It focuses on the challenges posed by annotating Turkish, a free word order language with rich inflectional and derivational morphology. It shows the usefulness of the PDTB style annotation but points out the need to expand this annotation style with the needs of the target language.
METU Turkish Discourse Bank Browser Sirin, Utku; Çakıcı, Ruket; Zeyrek Bozşahin, Deniz (2012-05-27) In this paper, the METU Turkish Discourse Bank Browser, a tool developed for browsing the annotated annotated discourse relations in Middle East Technical University (METU) Turkish Discourse Bank (TDB) project is presented. The tool provides both a clear interface for browsing the annotated corpus and a wide range of search options to analyze the annotations.

Citation Formats

I. Demirşahin and D. Zeyrek Bozşahin, Pair Annotation as a Novel Annotation Procedure: The Case of Turkish Discourse Bank. 2017, p. 1240.