Title :
Research on Question Classification Method of Tibetan Online Automatic Question-Answering System
Author_Institution :
Qinghai Tibetan Center for Inf. Process. Comput. Sci. Dept., Qinghai Normal Univ., Xining, China
Abstract :
This paper mainly describes the question classification method of Tibetan online automatic question-answering system. As each type of question is designed of certain matching rules, if a question and a rule matches, this question belongs to the corresponding answer category. Therefore, the use of this strategy can reduce the search space and improve the efficiency of information retrieval. In particular, using this method in the Tibetan question-answering system can effectively improve people to obtain more accurate information.
Keywords :
natural language processing; pattern classification; question answering (information retrieval); Tibetan online automatic question-answering system; information retrieval; matching rule; question classification method; Grammar; Information processing; Natural language processing; Search engines; Semantics; Tibetan; question classification; question-answering system;
Conference_Titel :
Intelligent Networks and Intelligent Systems (ICINIS), 2011 4th International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4577-1626-3
DOI :
10.1109/ICINIS.2011.42
