Combining Multiple Lexical Resources for Chinese Textual Entailment Recognition

Identifying Textual Entailment is the task of finding the relationship between the given hypothesis and text fragments. Developing a high-performance text paraphrasing system usually requires rich external knowledge such as syntactic parsing, thesaurus which is limited in Chinese since the Chinese word segmentation problem should be resolve first. By following last year, in this year, we continue adopting the created RITE system and combine with multiple online available thesaurus. We derive two exclusive feature sets for learners. One is the operations between the text pairs, while the other adopted the traditional bag-of-words model. Finally, we train the classifier with the above features. The official results indicate the effectiveness of our method.