NTCIR-2 Experiments at Matsushita: Monolingual and Cross-Lingual IR Tasks
نویسندگان
چکیده
In this paper, we describe our results for NTCIR-2 monolingual and cross-lingual IR tasks utilizing MEISTER, a group of software libraries to construct high performance full-text search applications. The results show that the coordination level scoring (CLS) which we proposed in NTCIR-1 is again effective for both short queries and long queries in Japanese monolingual task, and show that some modifications of CLS works slightly better than the original. In Japanese-English cross-lingual task, we show that utilizing bilingual dictionary with corpus-based term translation slightly improves performance of our approach that we proposed in NTCIR-1.
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