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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 ...
Shallow parsing in Turkish
(IEEE, 2017)
In this study, shallow parsing is applied on Turkish sentences. These sentences are used to train and test the per-formances of various learning algorithms with various features specified for shallow parsing in Turkish.
Morphological analyser for Turkish
(Işık Üniversitesi, 2018-01-25)
Natural Language Processing is one one the fields of work in computer science and specializes in text summarization, machine translation and many various topics. Morphology is one of the Natural Language Processing features ...
Big data storage and automated text summarization in Turkish text
(Işık Üniversitesi, 2018-06-19)
The subject of this study is storing the large datasets in accordance with Big Data ecosystem and to extract the summary sentences of a text in Turkish, apply the automatic text summarization process which is a subtopic ...