FudanNLP at RITE 2011: a Shallow Semantic Approach to Textual Entailment
Ling Cao, Xipeng Qiu, Jimmy Xiangji Huang · NTCIR · 2011
RITE is a task recognizing logic relations between texts. This paper presents FDCS’s approach on NTCIR9-RITE Chinese simplified BC & MC subtasks. Our system is built on a machine learning architecture with features selected on shallow semantic methods, including named entity recognition, date & time expression extraction, words overlap and negation concept recognition. FudanNLP is wildly used by our system on NLP procession and feature extraction. System gets accuracy as 76% on BC subtask and 58.5% on MC subtask, separately.