An automatic extraction method based on synonym dictionary for web reptile question and answer
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.
2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)