This paper describes our complex cross-lingual question answering (CCLQA) system for NTCIR-7 ACLIA track. To answer complex questions such as events, biographies, definitions, and relations, we designed two models, i.e., the centroid-vector model and the SVMbased model. In the official evaluation of the NTCIR7 CCLQA track, our SVM-based model achieved 22.11% F-score in the English-Chinese cross...
