Using Information Extraction in Adaptive Filtering Relevance Feedback
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چکیده
We present an evaluation of several different named-entity anchored feature sets for use in document-level and nugget-level adaptive filtering. We show encouraging improvements at the nugget level when using entity wildcards in context as an approach to generalizing from feedback. Specific entity mentions showed very little improvement at the document or nugget level, and in some cases degraded performance significantly.
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