The Machine Learning Model for Question Answering Systems

Student: Egorov Nikolai

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 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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