From Extractive to Abstractive Summarization: A Journey

Langbeschreibung
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 domain-specific text summarization, and proposes several improvements.
Hauptbeschreibung
Provides an overview of the transition from extractive to abstractive summarization and how they can be combined to create a practical summarization system
Inhaltsverzeichnis
Introduction.-Related Work.- Corpora and Evaluation for Text Summarization.- Domain Speci¿c Summarization.- Improving sentence extraction through rank aggregation.- Leveraging content similarity in summaries for generating better ensembles.-Neural model for sentence compression.- Conclusion.
Dr. Parth Mehta completed his M.Tech. in Machine Intelligence and his Ph.D. in Text Summarization at Dhirubhai Ambani Institute of ICT (DA-IICT), Gandhinagar, India. At the DA-IICT he was part of the Information Retrieval and Natural Language Processing Lab. He was also involved in the national project "Cross Lingual Information Access", funded by the Govt. of India, which focused on building a cross-lingual search engine for nine Indian languages.
ISBN-13:
9789811389368
Veröffentl:
2020
Erscheinungsdatum:
30.08.2020
Seiten:
128
Autor:
Prasenjit Majumder
Gewicht:
234 g
Format:
235x155x7 mm
Sprache:
Englisch

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