The Use of WordNet Sense Tagging in FAQFinder
نویسندگان
چکیده
FAQFinder is a Web-based, natural language question-answering system. It answers a user’s question by searching the Usenet Frequently Asked Questions (FAQ) files for a similar FAQ question, and displaying its answer to the user. To find the most similar FAQ question, FAQFinder measures similarity in part by using WordNet (Miller, 1990). To increase the accuracy of the similarity metric, we have incorporated an automated WordNet sense tagger into the process. In this paper, we show that the use of this sense tagger improves FAQFinder’s matching accuracy. We argue that WordNet sense tagging can also be used in more general Web search tasks.
منابع مشابه
FAQFinder with sense tagging FAQFinder without sense tagging
Rejection Recall FAQFinder with sense tagging FAQFinder without sense tagging Figure 4: Recall vs. Rejection for FAQFinder with and without WordNet Sense Tagging search. In FAQFinder, sense tagging and calculation of semantic similarity are much more computationally intensive than term vector processing. However, since FAQFinder matches single questions rather than entire documents, the computa...
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تاریخ انتشار 2003