Concepedia

Concept

text summarization

Parents

1.4K

Publications

100.6K

Citations

3.4K

Authors

996

Institutions

About

Text summarization is the computational process of generating a concise and coherent representation of a source text or collection of texts, designed to convey the main information and meaning while substantially reducing length. As a significant research area within Natural Language Processing (NLP), it investigates methodologies for identifying salient content (e.g., through extraction or abstraction), developing algorithms for producing fluent and informative summaries, and establishing metrics for evaluating summary quality, relevance, and factual consistency. Its academic significance lies in addressing challenges related to information overload, enabling efficient information access, and supporting various downstream applications requiring automated content compression and synthesis.

Top Authors

Rankings shown are based on concept H-Index.

KM

Columbia University

DR

University of Michigan

CL

Microsoft Research Asia (China)

NS

University of Technology Malaysia

EH

Carnegie Mellon University

Top Institutions

Rankings shown are based on concept H-Index.

Columbia University

New York, United States

Peking University

Beijing, China

Google (United States)

Mountain View, United States

Pittsburgh, United States