DocumentCode
3124459
Title
Question identification in Chinese micro-texts
Author
Le Tian ; Xipeng Qiu ; Xuanjing Huang
Author_Institution
Fudan Univ., Shanghai, China
Volume
04
fYear
2013
fDate
14-17 July 2013
Firstpage
1910
Lastpage
1915
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location
Tianjin
Type
conf
DOI
10.1109/ICMLC.2013.6890907
Filename
6890907
Link To Document