From Extractive to Abstractive Summarization: A Journey

This book describes recent advances in text summarization, identifies remaining gaps and challenges, and proposes ways to overcome them. It begins with one of the most frequently discussed topics in text summarization – ‘sentence extraction’ –, examines the effectiveness of current techniques in dom...

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Main Authors: Mehta, Parth. (Author, http://id.loc.gov/vocabulary/relators/aut), Majumder, Prasenjit. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Online Access:https://doi.org/10.1007/978-981-13-8934-4
Table of Contents:
  • Introduction.-Related Work
  • Corpora and Evaluation for Text Summarization
  • Domain Specific Summarization
  • Improving sentence extraction through rank aggregation
  • Leveraging content similarity in summaries for generating better ensembles.-Neural model for sentence compression
  • Conclusion.