An automatic extraction method based on synonym dictionary for web reptile question and answer

LinHua Gao, HePing Chen · 2018

In recent years, with the continuous emergence of online Q & A (Question and Answer) system, industry-based Q & A system can use an accurate and concise answer to answer questions raised by users in natural language. One of the important factors that affect the performance of Q & A systems is the accuracy and quality of Q & A. Recently, there have been a lot of methods of automatic extraction Q & A, have saved the time of establish Q&A, but the accuracy and quality of the Q & A is still not perfect. This paper realizes the use of self-made web crawler system to crawl online user questions and comments to build Q & A, and based on the synonym dictionary to calculate the similarity of questions and comments, thus improving the accuracy and quality of Q & A.

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