Adnan Öztürel

Also published as: Adnan Ozturel


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A Gold Standard Dependency Treebank for Turkish
Tolga Kayadelen | Adnan Ozturel | Bernd Bohnet
Proceedings of the Twelfth Language Resources and Evaluation Conference

We introduce TWT; a new treebank for Turkish which consists of web and Wikipedia sentences that are annotated for segmentation, morphology, part-of-speech and dependency relations. To date, it is the largest publicly available human-annotated morpho-syntactic Turkish treebank in terms of the annotated word count. It is also the first large Turkish dependency treebank that has a dedicated Wikipedia section. We present the tagsets and the methodology that are used in annotating the treebank and also the results of the baseline experiments on Turkish dependency parsing with this treebank.


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A Syntactically Expressive Morphological Analyzer for Turkish
Adnan Ozturel | Tolga Kayadelen | Isin Demirsahin
Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing

We present a broad coverage model of Turkish morphology and an open-source morphological analyzer that implements it. The model captures intricacies of Turkish morphology-syntax interface, thus could be used as a baseline that guides language model development. It introduces a novel fine part-of-speech tagset, a fine-grained affix inventory and represents morphotactics without zero-derivations. The morphological analyzer is freely available. It consists of modular reusable components of human-annotated gold standard lexicons, implements Turkish morphotactics as finite-state transducers using OpenFst and morphophonemic processes as Thrax grammars.


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Annotating Topic Development in Information Seeking Queries
Marta Andersson | Adnan Öztürel | Silvia Pareti
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper contributes to the limited body of empirical research in the domain of discourse structure of information seeking queries. We describe the development of an annotation schema for coding topic development in information seeking queries and the initial observations from a pilot sample of query sessions. The main idea that we explore is the relationship between constant and variable discourse entities and their role in tracking changes in the topic progression. We argue that the topicalized entities remain stable across development of the discourse and can be identified by a simple mechanism where anaphora resolution is a precursor. We also claim that a corpus annotated in this framework can be used as training data for dialogue management and computational semantics systems.


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Applicative Structures and Immediate Discourse in the Turkish Discourse Bank
Isin Demirşahin | Adnan Öztürel | Cem Bozşahin | Deniz Zeyrek
Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse