Evaluating a summarizer for legal text with a large text collection
نویسندگان
چکیده
This paper describes a novel approach to summarizing legal text (i.e. case law) and shows how two automatic evaluation methods (i.e. ROUGE and Gestalt pattern matching) and a (semi-)human-based evaluation can be used for evaluating summarizers using a large legal corpus.
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