LTI's Textual Entailment Recognizer System at NTCIR-9 RITE
نویسندگان
چکیده
Recognizing Textual Entailment is an important and hard basic research that can be applicable to many research fields, e.g. Question Answering, Text Summarization, Information Retrieval and Information Extraction. We, LTI team, developed an adaptable feature-based approach that combines multiple complementing features motivated by our analysis on data as well as linguistic insights. We evaluated our system in the Japanese tracks of the BC, Entrance Exam and RITE4QA subtasks at NTCIR-9 RITE, which marked relatively good scores among participants. ANALYSIS
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