IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE-2

Min-Yuh Day, Chun Tu, Shih-Jhen Huang, Hou-Cheng Vong, Shih-Wei Wu (2013), "IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE-2," in Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies(NTCIR-10), Tokyo, Japan, June 18-21, 2013, pp. 462-468.[[abstract]]In this paper, we describe the IMTKU (Information Management at TamKang University) textual entailment system for recognizing inference in text at NTCIR-10 RITE-2 (Recognizing Inference in Text). We proposed a textual entailment system using a hybrid approach that integrate semantic features and machine learning techniques for recognizing inference in text at NTCIR-10 RITE-2 task. We submitted 3 official runs for BC, MC and RITE4QA subtask. In NTCIR-10 RITE-2 task, IMTKU team achieved 0.509 in the CT-MC subtask, 0.663 in the CT-BC subtask; 0.402 in the CS-MC subtask, 0.627 in the CS-BC subtask; In MRR index, 0.257 in the CT-RITE4QA subtask, 0.338 in the CS-RITE4QA subtask.[[sponsorship]]National Institute of Informatics (NII), Tokyo, Japan[[conferencetype]]國際[[conferencedate]]20130618~20130621[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Tokyo, Japa