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IEEE

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10.1109/asyu48272.2019.8946369
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Machine comprehension of text is an important research topic in natural language processing. In this study, to meet the Turkish data set requirement in this topic, a dataset was created from Turkish paragraph question type asked in various national level exams. Various approaches was developed using N-Gram similarity, TF-IDF and word vectors to solve paragraph questions. 41.57% success was achieved on the proposed dataset.

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2019 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS CONFERENCE (ASYU)

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978-1-7281-2868-9

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