Applying Argument Extraction to Improve Legal Information Retrieval
نویسنده
چکیده
Argument extraction techniques can likely improve legal information retrieval. Any effort to achieve that goal should take into account key features of legal reasoning such as the importance of legal rules and concepts, support and attack relations among claims, and citation of authoritative sources. Annotation types reflecting these key features will help identify the roles of textual elements in retrieved legal cases in order to better inform assessments of relevance for users’ queries. As a result, legal argument models and argument schemes will likely play a central part in the text annotation type system.
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