Abstractive vs. Extractive Summarization: An Experimental Review

Abstractive vs. Extractive Summarization: An Experimental Review

Text summarization is a subtask of natural language processing referring to the automatic creation of a concise and fluent summary that captures the main ideas and topics from one or multiple documents. Earlier literature surveys focus on extractive approaches, which rank the <i>top-n</i>...

Full description

Bibliographic Details
Main Authors: Nikolaos Giarelis, Charalampos Mastrokostas, Nikos Karacapilidis
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
text summarization
deep learning
language models
natural language processing
abstractive summarization
extractive summarization
Online Access:https://www.mdpi.com/2076-3417/13/13/7620

Similar Items

Similar Items