IASL RITE System at NTCIR-10.

We developed a knowledge-based textual inference recognition system for both BC and MC subtasks at NTCIR-9 RITE. Five different modules, which use named entities, subject-modifier word pairs, negative expressions, exclusive tokens and sentence length respectively, were implemented to determine the entailment relation of each sentence pair. Three decision making approaches were applied to integrate all the results from the recognition modules into one entailment result. The evaluation result showed that our system achieved 0.661 and 0.501 for traditional Chinese BC and MC subtasks respectively. For the simplified Chinese, the accuracy reached 0.715 and 0.565 for BC and MC respectively.