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The Machine Learning Model for Question Answering Systems

ФИО студента: Nikolai Egorov

Руководитель: Denis Y. Turdakov

Кампус/факультет: Faculty of Computer Science

Программа: Software Engineering (Bachelor)

Год защиты: 2018

This paper is dedicated to Community Question Answering problem, finding similarities between question and answer. In this work machine learning model used in the research field are considered. The target of research is proposed machine learning model using kernel function and convolution neural networks. Given model can be trained and used for the employment in different question-answer systems for classification and ranking of answers. The paper contains 32 pages, 5 chapters, 8 illustrations, 1 table, 18 bibliography items. Keywords: Question Answering; Machine Learning; text processing; SVM; CNN; kernel functions; PTK

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