We believe that in order to be useful a text summarisatio ntechnique must be domain dependent, in that hte resulting summary must cover the improtant aspects and concepts specific to the subject matter's domain. The main problem with a typical domain-dependent text summarisation technique is the cost of acquiring and hand-coding the required domain-specific knwoedge into the system, e.g., in the form of phrase-structure templates. To solve this problem, we propose a solution which uses automatically retrieved sample documents as the source of the domain specific knowledge, and extracts the knowledge in the form of keyterms.
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