An efficient single document Arabic text summarization using a combination of statistical and semantic features
نویسندگان
چکیده
منابع مشابه
Hybrid Approach for Single Text Document Summarization Using Statistical and Sentiment Features
Summarization is a way to represent same information in concise way with equal sense. This can be categorized in two type Abstractive and Extractive type. Our work is focused around Extractive summarization. A generic approach to extractive summarization is to consider sentence as an entity, score each sentence based on some indicative features to ascertain the quality of sentence for inclusion...
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Recently, one of the problems arisen due to the amount of information and it’s availability on the web, is the increased need for effective and powerful tool to automatically summarize text. For English and European languages an intensive works have been done with high performance and nowadays they look forward to multi-document and multi-language summarization. However, Arabic language still s...
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“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...
متن کاملThe role of statistical and semantic features in single-document extractive summarization
This paper reports on the further results of the ongoing research analyzing the impact of a range of commonly used statistical and semantic features in the context of extractive text summarization. The features experimented with include word frequency, inverse sentence and term frequencies, stopwords filtering, word senses, resolved anaphora and textual entailment. The obtained results demonstr...
متن کاملArabic Document Summarization Using Fa Fuzzy Ontology
Ontology is the basis of sharing and reusing knowledge on the semantic web. The fuzzy ontology is an extension of the domain ontology for solving the uncertainty problems. Although many earlier methods tried to create a fuzzy ontology and applied it to documents summarization, none of the previous methods have discussed Arabic document summarization using FA fuzzy ontology which could benefit f...
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ژورنال
عنوان ژورنال: Journal of King Saud University - Computer and Information Sciences
سال: 2019
ISSN: 1319-1578
DOI: 10.1016/j.jksuci.2019.03.010