Question-answering information retrieval is a new generation of search engines that integrates the research results of natural language processing and information retrieval science to improve the efficiency of information retrieval. This paper introduces pattern optimization and its application in question-answering information retrieval, and conducts an objective evaluation. Patterns have two important applications in question-answering information retrieval - query expansion and answer extraction. Experimental results show that on the TREC standard test set, the use of pattern matching strategy to achieve answer extraction can effectively improve the accuracy of question-answering information retrieval systems. Keywords: information retrieval; pattern optimization; performance evaluation
You Might Like
Recommended ContentMore
Open source project More
Popular Components
Searched by Users
Just Take a LookMore
Trending Downloads
Trending ArticlesMore