FDU at TREC-9: CLIR, Filtering and QA Tasks
نویسندگان
چکیده
This year Fudan University takes part in the TREC-9 conference for the first time. We have participated in three tracks of CLIR, Filtering and QA. We have submitted four runs for CLIR track. Bilingual knowledge source and statistical-based search engine are integrated in our CLIR system. We varied our strategy somewhat between runs: long query (both title and description field of the queries involved) with pseudo relevance feedback (FDUT9XL1), long query with no feedback (FDUT9XL2), median query (just description field of queries involved) with feedback (FDUT9XL3) and, the last, mono long query with feedback (FDUT9XL4). For filtering, we participate in the sub-task of adaptive filtering and batch filtering. Vector representation and computation are heavily applied in filtering procedure. 11 runs of various combination of topic and evaluation measure have been submitted: 4 OHSU runs, 1 MeSH run and 2 MSH-SAMPLE runs for adaptive filtering, and 2 OHSU runs, 1 MeSH run and 1 MSH-SAMPLE run for batch filtering. Our QA system consists of three components: Question Analyzer, Candidate Window Searcher and Answer Extractor. We submitted two runs in the 50-byte category and two runs in the 250-byte category. The runs of "FDUT9QL1" and "FDUT9QS1" are extracted from the top 100 candidate windows. The other two runs of "FDUT9QL2" and "FDUT9QS1" are extracted from the top 24 candidate windows.
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تاریخ انتشار 2000