Keyword based Automatic Summarization of HTML Documents
نویسندگان
چکیده
منابع مشابه
Keyword based Automatic Summarization of HTML Documents
Automatic summarization [5] can be defined as the procedure to create a short version of a text by a computer program. Its product still contains the most important points of the existing text. Multi-document summarization [6] can be defined as an automatic procedure which extracts information from multiple texts that is written about the same topic. Resulting summary report allows individual u...
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This work reports on research conducted on the domain of multi-document summarization using background knowledge. The research focuses on summary evaluation and the implementation of a set of generic use tools for NLP tasks and especially for automatic summarization. Within this work we formalize the n-gram graph representation and its use in NLP tasks. We present the use of n-gram graphs for t...
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In this paper, we emphasize the need for conservingspace within sentences by introducing a Sentences SimplificationModule (SSM). The module is aimed to shorten the length ofsentences via either splitting or compression. We describe howthe module is integrated in a Wikipedia-based summarizationframework. We highlight the performance differences obtainedfrom introducing su...
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Keywords, which we define as a sequence of one or more words, provide a compact representation of a document’s content. Ideally, keywords represent in condensed form the essential content of a document.
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Given the increasing number of documents, sites, online sources, and the users’ desire to quickly access information, automatic textual summarization has caught the attention of many researchers in this field. Researchers have presented different methods for text summarization as well as a useful summary of those texts including relevant document sentences. This study select...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/ijca2015906421