FDUQA on TREC 2006 QA Track
نویسندگان
چکیده
In this year’s QA Track, we participant in the main task and do not take part in the ciQA task. The main task is essentially the same as the single task from 2004, in that the test set consists of a set of question series where each series asks for information regarding a particular target. In order to better answer the questions in the series, we try to improve our anaphora resolution within question series. For factoid questions, we use the system that submits the RUN-A in TREC 2005[Wu et al. 2005]. Therefore we won’t describe the factoid system in this paper. For list questions, we get a lot of improvements, the most important of which are answer type classification, document searching, answer ranking and answer filtering. For definition question, we still focus on utilizing the existing definitions in the Web knowledge bases. And also applied the method of relative terms extraction to extract reliable information associated with target for getting web definition directly by question target is becoming a bottleneck. In the following, Section 2 will describe question series anaphora resolution. Section 3,and 4 will describe our algorithms for list and definition questions separately. Section 5 will present our results in TREC 2006.
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