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2013 | OriginalPaper | Buchkapitel

1. Automatic Text Summarization: Past, Present and Future

verfasst von : Horacio Saggion, Thierry Poibeau

Erschienen in: Multi-source, Multilingual Information Extraction and Summarization

Verlag: Springer Berlin Heidelberg

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Abstract

Automatic text summarization, the computer-based production of condensed versions of documents, is an important technology for the information society. Without summaries it would be practically impossible for human beings to get access to the ever growing mass of information available online. Although research in text summarization is over 50 years old, some efforts are still needed given the insufficient quality of automatic summaries and the number of interesting summarization topics being proposed in different contexts by end users (“domain-specific summaries”, “opinion-oriented summaries”, “update summaries”, etc.). This paper gives a short overview of summarization methods and evaluation.

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Nächstes Kapitel Information Extraction: Past, Present and Future
Fußnoten
1
Rouge was inspired by BLEU, a measure used in the evaluation of machine translation also based on the comparison of n-grams [52].
 
2
Hovy et al. [19] also proposed an approach of this kind with the notion of Basic Units.
 
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Metadaten
Titel
Automatic Text Summarization: Past, Present and Future
verfasst von
Horacio Saggion
Thierry Poibeau
Copyright-Jahr
2013
Verlag
Springer Berlin Heidelberg
Buch
Multi-source, Multilingual Information Extraction and Summarization

Print ISBN: 978-3-642-28568-4

Electronic ISBN: 978-3-642-28569-1

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-3-642-28569-1_1

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