Title : 
Question identification in Chinese micro-texts
         
        
            Author : 
Le Tian ; Xipeng Qiu ; Xuanjing Huang
         
        
            Author_Institution : 
Fudan Univ., Shanghai, China
         
        
        
        
        
        
        
            Abstract : 
Micro-blogs have become very convenient places to ask questions and seek information. In this paper, we focus on automatically identifying questions (the micro-texts which are asked to seek information or help) from Chinese micro-texts. Based on the characters of Chinese question, we investigate various rule-based and learning-based methods to recognize questions. In addition to identify the questions, we also distinguish whether a question can be answered with sufficient conditions. The experimental results on Chinese micro-texts show that our proposed dependency tree pattern is effective for question identification.
         
        
            Keywords : 
learning (artificial intelligence); social networking (online); text analysis; Chinese microtexts; Chinese question characters; dependency tree pattern; learning-based methods; microblogs; question identification; question recognition; rule-based methods; Abstracts;
         
        
        
        
            Conference_Titel : 
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
         
        
            Conference_Location : 
Tianjin
         
        
        
            DOI : 
10.1109/ICMLC.2013.6890907