Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach
نویسندگان
چکیده
منابع مشابه
Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach
Document summarization involves reducing a text document into a short set of phrases or sentences that convey the main meaning of the text. In digital libraries, summaries can be used as concise descriptions which the user can read for a rapid comprehension of the retrieved documents. Most of the existing approaches rely on the classification algorithms which tend to generate “crisp” summaries,...
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This thesis focuses on the task of extracting keyphrases from research papers. Keyphrases are short phrases that summarize and characterize the contents of documents. They help users explore sets of documents and quickly understand the contents of individual documents. Most academic papers do not have keyphrases assigned to them, and manual keyphrase assignment is highly laborious. As such, the...
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Automatic keyphrase extraction methods have generally taken either supervised or unsupervised approaches. Supervised methods extract keyphrases by using a training document set, thus acquiring knowledge from a global collection of texts. Conversely, unsupervised methods extract keyphrases by determining their relevance in a single-document context, without prior learning. We present a hybrid ke...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2014
ISSN: 1877-0509
DOI: 10.1016/j.procs.2014.10.011