TY - GEN
T1 - A new answer analysis approach for Chinese yes-no question
AU - Xu, Lei
AU - Ren, Yong
AU - Ye, Wangyi
PY - 2011
Y1 - 2011
N2 - The accumulated question-answer archives in community-based question answering (CQA) services have produced a valuable repository for knowledge discovery. The yes-no question is a common type of question which has not been well studied in previous work. This paper proposed a novel approach to analyze answers to Chinese yes-no questions in CQA services. The analysis task was innovatively formed as a sentence selection problem: sentences that best expressed the answerer's opinion were selected. First, a conditional random field (CRF) based annotation model was proposed to split the question into several segments. Then a new score function, which combined position information of the sentence and segmentation information of the question, was designed to score all sentences of one answer. Experiment results validated the effectiveness of the CRF-based question segmentation method. The proposed answer scoring function was also proved to be more appropriate than other approaches with respect to satisfying user's information need.
AB - The accumulated question-answer archives in community-based question answering (CQA) services have produced a valuable repository for knowledge discovery. The yes-no question is a common type of question which has not been well studied in previous work. This paper proposed a novel approach to analyze answers to Chinese yes-no questions in CQA services. The analysis task was innovatively formed as a sentence selection problem: sentences that best expressed the answerer's opinion were selected. First, a conditional random field (CRF) based annotation model was proposed to split the question into several segments. Then a new score function, which combined position information of the sentence and segmentation information of the question, was designed to score all sentences of one answer. Experiment results validated the effectiveness of the CRF-based question segmentation method. The proposed answer scoring function was also proved to be more appropriate than other approaches with respect to satisfying user's information need.
KW - answer analysis
KW - community-based question answering
KW - question segmentation
KW - scoring function
KW - yes-no question
UR - http://www.scopus.com/inward/record.url?scp=80054060317&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-23896-3_12
DO - 10.1007/978-3-642-23896-3_12
M3 - Conference contribution
AN - SCOPUS:80054060317
SN - 9783642238956
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 92
EP - 103
BT - Artificial Intelligence and Computational Intelligence - Third International Conference, AICI 2011, Proceedings
T2 - 3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011
Y2 - 24 September 2011 through 25 September 2011
ER -