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Appling Link Target Identification and Content Extraction to improve Web News Summarization

Published: 13 September 2016 Publication History

Abstract

The existing automatic text summarization systems whenever applied to web-pages of news articles show poor performance as the text is encapsulated within a HTML page. This paper takes advantage of the link identification and content extraction techniques. The results show the validity of such a strategy.

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    cover image ACM Conferences
    DocEng '16: Proceedings of the 2016 ACM Symposium on Document Engineering
    September 2016
    222 pages
    ISBN:9781450344388
    DOI:10.1145/2960811
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 13 September 2016

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    Author Tags

    1. content extraction
    2. link identification
    3. summarization

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    DocEng '16
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    DocEng '16: ACM Symposium on Document Engineering 2016
    September 13 - 16, 2016
    Vienna, Austria

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    DocEng '16 Paper Acceptance Rate 11 of 35 submissions, 31%;
    Overall Acceptance Rate 194 of 564 submissions, 34%

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