Evaluating Multi-lingual Information Retrieval and Clustering at ULIS
نویسندگان
چکیده
This paper describes our retrieval system for NTCIR-2 Japanese/English CLIR and MLIR tasks. We integrate query and document translation with monolingual retrieval to improve retrieval accuracy, and perform clustering to improve browsing efficiency. We also introduce an entropy-driven technique in evaluating clustering methods.
منابع مشابه
Evaluationg Multi-lingual Information Retrieval and Clustering at ULIS
This paper describes our retrieval system for NTCIR-2 Japanese/English CLIR and MLIR tasks. We integrate query and document translation with monolingual retrieval to improve retrieval accuracy, and perform clustering to improve browsing efficiency. We also introduce an entropy-driven technique in evaluating clustering methods.
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