Minimum redundancy and maximum relevance for single and multi-document Arabic text summarization
نویسندگان
چکیده
منابع مشابه
Multi-Document Arabic Summarization Using Text Clustering to Reduce Redundancy
“The process of multi-document summarization is producing a single summary of a collection of related documents. In this work we focus on generic extractive Arabic multi-document summarizers. We also describe the cluster approach for multi-document summarization. The problem with multi-document text summarization is redundancy of sentences, and thus, redundancy must be eliminated to ensure cohe...
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We have presented an approach to automatic document summarization. In the proposed approach, text summarization is modeled as a quadratic integer-programming problem. This model generally attempts to optimize three properties, namely, (1) relevance: summary should contain informative textual units that are relevant to the user; (2) redundancy: summaries should not contain multiple textual units...
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We describe a sentence extraction system that produces two sorts of multi-document summaries: the first is a general-purpose summary of a cluster of related documents while the second is an entity-based summary of documents related to a particular person. The general-purpose summary is generated by a process that ranks sentences based on their document and cluster “worthiness”. The personality-...
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Our Multilingual Summarization Evaluation entries for MSE-2006 were based upon an improved version of our CLASSY (Clustering, Linguistics, And Statistics for Summarization Yield) system. Our two entries were systems 20 and 21 and represented approaches based upon extracts from a) only English documents and b) English and the translated Arabic documents (full clusters). This paper presents a bri...
متن کاملAutomatic Multi-Document Arabic Text Summarization Using Clustering and Keyphrase Extraction
Automatic text summarization has become important due to the rapid growth of information texts since it is very difficult for human beings to manually summarize large documents of texts. A full understanding of the document is essential to form an ideal summary. However, achieving full understanding is either difficult or impossible for computers. Therefore, selecting important sentences from t...
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ژورنال
عنوان ژورنال: Journal of King Saud University - Computer and Information Sciences
سال: 2014
ISSN: 1319-1578
DOI: 10.1016/j.jksuci.2014.06.008