Implementation Question Answering System using PSO Algorithm

A Question Answering system (QAS) answers to questions asked in natural language .Early Question Answering systems had limited capabilities and had little performance in cases. But most of current QASs are developed for types of questions asked by users. A QAS applies methods and algorithms to process natural language questions and information retrieval, methods such as Natural language process(NLP) . In this paper we used particle swarm optimization (PSO), we tested (PSO)method on TREC۹ and QAS۰۱ dataset, obtained good results.

کلیدواژه ها:

Question Answering systems (QAS) ، Stop Words ، Tokenization ، Query ، PSO