- Hideki Shima, Yuanpeng Li, Naoki Orii, T. Mitamura. 2011. LTI's Textual Entailment Recognizer System at NTCIR-9 RITE. Abstract: paper describes the LTI's system participated in NTCIR-9 RITE. The system is based on multiple linguistically-motivated features and an adaptable framework for different datasets. The formal run scores are 54.6% (accuracy in BC), 66.7% (accuracy in Entrance Exam), and 29.8% (MRR in RITE4QA) which outperformed strong baselines, and are relatively good among participants. We also describe in-house experimental results (e.g. ablation study for measuring feature contribution).
