Text Summarization based on Itemized Sentences and Similar Parts Detection between Documents
نویسنده
چکیده
In this paper, we propose a text summarization system for a single document and multiple documents. The system for a single one extracts sentences from a document and itemizes them to generate a summary. We applied this mechanism for Task A (single document summarization). We also utilized this mechanism for multi-document summarization (Task B) except for itemization mechanism. The system for multidocument detects similar parts between all summarized documents and eliminates them. In the Formal Run evaluation of TSC2, our system got better evaluation for a single document summarization but multidocument summarization was not so good.
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