NTU Textual Entailment System for NTCIR 9 RITE Task

In this paper, we propose a system to deal with the Chinese textual entailment problem for NTCIR-9 RITE task. The RITE task consists of four subtasks, simplified Chinese binary classification (CS_BC), simplified Chinese multi-way classification (CS_MC), traditional Chinese binary classification (CT_BC), and traditional Chinese multi-way classification (CT_MC). According to the definitions of these subtasks, a machine learning based classification framework is proposed and tested under various setups. The performance of our system in the formal run achieves accuracies of 73.5%, 57.5%, 60.8%, and 48.3% for CS_BC, CS_MC, CT_BC, and CT_MC respectively.