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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

2. Related Work

verfasst von : Parth Mehta, Prasenjit Majumder

Erschienen in: From Extractive to Abstractive Summarization: A Journey

Verlag: Springer Singapore

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Abstract

In this chapter, we examine some of the existing techniques for sentence extraction and sentence compression. We also discuss the existing approaches for creating ensembles of these systems. We point out specific cases where the existing techniques would not work and what needs to be done to handle such cases. We discuss various existing approaches for extractive summarisation in such a way as to maximise the representation from several different categories of extractive techniques. In contrast to the extractive techniques, ensemble techniques for summarisation are fewer, but at the same time warrant a detailed discussion in order to present our arguments. We discuss all the existing ensemble approaches, their strengths and weaknesses. For abstractive summarisation/sentence compression we classify the approaches into two major groups: those dependent on linguistic resources and the ones that are completely data-driven. We end the chapter with an overview of domain-specific summarisation approaches, specifically related to legal and scientific articles.

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Vorheriges Kapitel Introduction
Nächstes Kapitel Corpora and Evaluation for Text Summarisation
Fußnoten
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Metadaten
Titel
Related Work
verfasst von
Parth Mehta
Prasenjit Majumder
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
From Extractive to Abstractive Summarization: A Journey

Print ISBN: 978-981-13-8933-7

Electronic ISBN: 978-981-13-8934-4

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-13-8934-4_2

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