A Ranking-based Approach for Multiple-document Information Extraction
نویسندگان
چکیده
This paper presents a ranking-based approach used in a participating system for the TAC 2010 Information Extraction Task. We introduce a prioritization hierarchy consisting of four levels that are used to determine the most important sentences for extraction. The presence of named entities and the document date play major roles in our approach.
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روش جدید متنکاوی برای استخراج اطلاعات زمینه کاربر بهمنظور بهبود رتبهبندی نتایج موتور جستجو
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