A Voting Mechanism for Named Entity Translation in English–Chinese Question Answering
Ling-Xiang Tang, Shlomo Geva, Andrew Trotman, Yue Xu · QUT ePrints (Queensland University of Technology) · 2010
In this paper, we describe a voting mechanism for accurate named entity (NE) translation in English–Chinese question answering (QA). This mechanism involves translations from three different sources: machine translation,online encyclopaedia, and web documents. The translation with the highest number of votes is selected. We evaluated this approach using test collection, topics and assessment results from the NTCIR-8 evaluation forum. This mechanism achieved 95% accuracy in NEs translation and 0.3756 MAP in English–Chinese cross-lingual information retrieval of QA.