TY - GEN
T1 - Chinese comparative sentence identification based on the combination of rules and statistics
AU - Liu, Quanchao
AU - Huang, Heyan
AU - Zhang, Chen
AU - Chen, Zhenzhao
AU - Chen, Jiajun
PY - 2013
Y1 - 2013
N2 - Opinions always carry important information of texts, but comparative sentence is a common way to express opinions. We describe how to recognize comparative sentences from Chinese text documents by combining rule-based methods and statistical methods as well as analyze the performance of these methods. The method firstly normalizes the corpus and Chinese word segmentation, and then gets the broad extraction results by using comparative words, sentence structure templates and dependency relation analysis. Finally we take CSR, comparative words and statistical feature words as classification features of SVM to accurately identify comparative sentences in the broad extraction results. The experiments with COAE 2013's test data show that our approach provides better performance than the baselines and most systems reported at CCIR 2013.
AB - Opinions always carry important information of texts, but comparative sentence is a common way to express opinions. We describe how to recognize comparative sentences from Chinese text documents by combining rule-based methods and statistical methods as well as analyze the performance of these methods. The method firstly normalizes the corpus and Chinese word segmentation, and then gets the broad extraction results by using comparative words, sentence structure templates and dependency relation analysis. Finally we take CSR, comparative words and statistical feature words as classification features of SVM to accurately identify comparative sentences in the broad extraction results. The experiments with COAE 2013's test data show that our approach provides better performance than the baselines and most systems reported at CCIR 2013.
KW - CRF
KW - CSR
KW - Chinese Comparative Sentence
KW - Comparative Sentence
KW - SVM
UR - http://www.scopus.com/inward/record.url?scp=84893028642&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-53917-6_27
DO - 10.1007/978-3-642-53917-6_27
M3 - Conference contribution
AN - SCOPUS:84893028642
SN - 9783642539169
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 300
EP - 310
BT - Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings
T2 - 9th International Conference on Advanced Data Mining and Applications, ADMA 2013
Y2 - 14 December 2013 through 16 December 2013
ER -