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All-words word sense disambiguation in Turkish
(Işık Üniversitesi, 2019-09-06)
Word sense disambiguation (WSD) is the identi cation of the meaning of words in context in a computational manner. The main subject of this study is to implement and compare the WSD results of various supervised classi ers ...
Word sense disambiguation, named entity recognition, and shallow parsing tasks for Turkish
(Işık Üniversitesi, 2019-04-02)
People interactions are based on sentences. The process of understanding sentences is thru converging, parsing the words and making sense of words. The ultimate goal of Natural Language Processing is to understand the ...
Paragraph and sentence level semantic textual similarity measurement techniques: An application on solving OSYM exam questions
(Işık Üniversitesi, 2019-09-06)
An Application on Solving OSYM Exam Questions Semantic textual similarity is a well-known natural language processing (NLP) task which aims to measure the degree of similarity of two texts in terms of meanings. In this ...
Semantic role labeling for Turkish propbank
(Işık Üniversitesi, 2019-09-06)
People's communication with each other takes place through sentences that combine words with different purposes. Words can gain different meanings with the presence of other words in the sentences in which they take place. ...
Rule-based chunking of semantic roles for Turkish
(Işık Üniversitesi, 2018-01-24)
In our work, we approached to semantic role labeling from a different angle. Contrary to related works, which focused on determining single role like noun phrase or predicate, we worked on all of the roles. We claim that, ...