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 techniq...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Mehta, Parth (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Majumder, Prasenjit (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.