Using SSM for Enhancing Summarization

نویسندگان

  • Abdullah Bawakid
  • Mourad Oussalah
چکیده

This paper describes a query-based multi-document summarizer that was built to participate in the summarization task of TAC11. The Similar to last year's system, it relies on a thesaurus extracted from Wikipedia and uses it as its underlying ontology. In addition, the system was updated by including a Sentences Simplification Module (SSM) that is applied in an iterative process in the post-processing stage. SSM also affects how sentences are ranked and chosen to form the summaries. The evaluation results and the performance of the system are provided.

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تاریخ انتشار 2011