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Automatic prediction of implicit discourse relations in Turkish
Date
2016-04-10
Author
Kurfalı, Murathan
Zeyrek Bozşahin, Deniz
Goncalves, Teresa
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http://textlink.ii.metu.edu.tr/sites/default/files/Conference20Handbook_beliv.pdf
https://hdl.handle.net/11511/75023
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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 ...
Automatic sense prediction of explicit discourse connectives in Turkish with the help of centering theory and morphosyntactic features
Çetin, Savaş; Zeyrek Bozşahin, Deniz; Department of Cognitive Sciences (2018)
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Anaphora identification is an important problem especially for its impact on anaphora and coreference resolution systems. In this paper, a system that automatically identifies anaphoric pronouns in Turkish is presented. The proposed system takes a decision tree learning approach, that of Quinlan's C 4.5, where a corpus examination is carried out to determine linguistic features specific to Turkish which are to be used by the decision tree learner. The proposed system is significant especially for its ease o...
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The morphological profile (MP) and differential morphological profile (DMP) have been used extensively to acquire spatial information to be used in the segmentation of very high resolution (VHR) remotely sensed images. In most of the previous approaches, the maxima of the MP and DMP were investigated to estimate the best representative scale in the spatial domain for the pixel under consideration. Then, the object type (i.e. dark, bright or flat) was estimated based on the location of the maximum. Finally, ...
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Segmentation of human head on medical images is an important process in a wide array of applications such as diagnosis, facial surgery planning, prosthesis design, and forensic identification. In this study, a new Bayesian method for segmentation of facial tissues is presented. Segmentation classes include muscle, bone, fat, air and skin. The method incorporates a model to account for image blurring during data acquisition, a prior helping to reduce noise as well as a partial volume model. Regularization ba...
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M. Kurfalı, D. Zeyrek Bozşahin, and T. Goncalves, “Automatic prediction of implicit discourse relations in Turkish,” 2016, Accessed: 00, 2021. [Online]. Available: http://textlink.ii.metu.edu.tr/sites/default/files/Conference20Handbook_beliv.pdf.