Papers by Deniz Zeyrek

2 papers
An Assessment of Explicit Inter- and Intra-sentential Discourse Connectives in Turkish Discourse Bank (L18-1)

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Challenge: Discourse parsing is a challenging task for NLP.
Approach: They propose to add a new set of explicit intra-sentential connectives to Turkish Discourse Bank 1.1 . they propose to evaluate the converb sense annotations and compare them to other Turkish corpus .
Outcome: The proposed annotations show that the subordinators tend to select certain senses not selected by explicit inter- and intra-sentential discourse connectives in the data.
Multilingual Extension of PDTB-Style Annotation: The Case of TED Multilingual Discourse Bank (L18-1)

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Challenge: Existing corpora enriched with discourse annotations are scarce but exist . TED-MDB is hoped to be a source of parallel data for contrastive linguistic analysis and language technology applications.
Approach: They propose a multilingual discourse treebank to provide a clear description of discourse structure and semantics in multiple languages.
Outcome: The proposed corpus provides a clearly described level of discourse structure and semantics in multiple languages.

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