Making RAPOSA (FOX) Smarter
نویسندگان
چکیده
In this paper we describe RAPOSA, a question answering system for Portuguese, and we present detailed results of the participation in the QA@CLEF 2007 evaluation task. We explain how we improved our system since the last participation in QA@CLEF, by expanding the set of rules associated with Question Parsing and Answering Extraction. We will finish by pointing lines for future work, and by introducing the concept of “tagging by example” that allows improving the answer extraction stage by learning how identify in text elements that are potentially useful in answering certain types of questions.
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