KECIR at NTCIR-10 Cross-Lingual Link Discovery Task

This paper presents the methods of KECIR at NTCIR-10 Cross-Lingual Link Discovery Task. Two architectures of systems are designed, both of which consist of three common modules such as anchor detection, anchor translation and link discovery. In KECIR A2F C2E 03 FSCLIR and KECIR A2F C2E 04 FSCLIR, monolingual link discovery module is considered. In order to detect anchor, feature selection method is used. In the processing of anchor translation, we use a method combined with existing cross language link and Google translation web service. For discovering link, both title and paragraph matching methods are used to retrieve the relevant link corresponding to each anchor. Four runs were submitted, and in the A2F evaluation with Manual Assessment results, the KECIR A2F C2E 01 FSCLIR achieved the highest score of LMAP and R-Prec in Chinese to English task. The experiment shows that CrossLink based on the first architecture of system can retrieve higher precision links for an anchor than the second one, and anchors with noisiness will result in lower values of metrics in F2F evaluation.