Dec 6, 2011 · ABSTRACT. This paper describes the LTI's system participated in NTCIR-9. RITE. The system is based on multiple linguistically-motivated.
Recognizing Textual Entailment is an important and hard basic research that can be applicable to many research fields, e.g. Question Answering, ...
This paper describes the LTI's system participated in NTCIR-9 RITE. The system is based on multiple linguistically-motivated features and an adaptable ...
This paper describes the LTI's system participated in NTCIR-9 RITE. The system is based on multiple linguistically-motivated features and an adaptable ...
Hideki Shima, Yuanpeng Li, Naoki Orii, Teruko Mitamura: LTI's Textual Entailment Recognizer System at NTCIR-9 RITE. NTCIR 2011. manage site settings.
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-Lingual ...
LTI's Textual Entailment Recognizer System at NTCIR-9 RITE · Hideki Shima ... The LTI's system participated in NTCIR-9 RITE and is based on multiple ...
This paper describes the LTI's system participated in NTCIR-9 RITE. The system is based on multiple linguistically-motivated features and an adaptable ...
Naoki Orii, Young-In Song and Tetsuya Sakai ○ NTCIR-9; LTI's Textual Entailment Recognizer System at NTCIR-9 RITE ○ [pdf] Hideki Shima, Yuanpeng Li, Naoki ...
LTI's Textual Entailment Recognizer System at NTCIR-9 RITE. H Shima, Y Li, N Orii, T Mitamura. NTCIR, 2011. 6, 2011. Query expansion ...