{Using Knowledge-poor Coreference Resolution for Text Summarization}

Abstract

We present a system that produces 10-word summaries based on the single summarization strategy of outputting noun phrases representing the most important text entities (as represented by noun phrase coreference chains). The coreference chains were computed using fuzzy set theory combined with knowledgepoor corefernce heuristics. 1