IASL RITE System at NTCIR-10.
Cheng-Wei Shih, Cheng‐Wei Lee, Ting‐Hao Yang, Wen−Lian Hsu · 2011
At our second participation in NTCIR RITE, we developed a two-stage knowledge-based textual inference recognition system for both BC and MC subtasks in Chinese. Two main recognition systems, which are based on named entities, Chinese tokens, word dependency, and sentence length, were implemented to identify the entailment and contradiction between sentences. The evaluation result showed that our 2-stage system achieved 0.6714 and 0.4632 for traditional Chinese BC and MC subtasks respectively. It greatly surpassed our previous work in NTCIR-9 RITE. In the unofficial run of simplified Chinese, the accuracy of our system also reached 0.6045 in BC and 0.5094 in MC.