Automatic Evaluation of Text Summarization Based on Semantic Link Network

Mengyun Cao, Hai Zhuge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an approach for automatically evaluating summaries based on Semantic Link Network (SLN). Three factors about the quality of summary are taken into account: 1) Fidelity, inspecting whether a summary conveys the core themes of the source text; 2) Conciseness, inspecting the non-redundancy between the sentences of a summary; and, 3) Coherence, inspecting the relevance among all the themes contained in a summary. A summary gets a quality rating based on its performance on the three factors. Experimental results show that the quality ratings of summaries given by our approach are close to the results of manual evaluation.
Original languageEnglish
Title of host publication2019 15th International Conference on Semantics, Knowledge and Grids (SKG)
PublisherIEEE
Pages107-114
ISBN (Electronic)978-1-7281-5823-5
ISBN (Print)978-1-7281-5824-2
DOIs
Publication statusPublished - 23 Mar 2020
Event2019 15th International Conference on Semantics, Knowledge and Grids (SKG) - Guangzhou, China
Duration: 17 Sep 201918 Sep 2019

Publication series

Name2019 15th International Conference on Semantics, Knowledge and Grids (SKG)
PublisherIEEE
ISSN (Print)2325-0623

Conference

Conference2019 15th International Conference on Semantics, Knowledge and Grids (SKG)
Period17/09/1918/09/19

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Cite this

Cao, M., & Zhuge, H. (2020). Automatic Evaluation of Text Summarization Based on Semantic Link Network. In 2019 15th International Conference on Semantics, Knowledge and Grids (SKG) (pp. 107-114). (2019 15th International Conference on Semantics, Knowledge and Grids (SKG)). IEEE. https://doi.org/10.1109/SKG49510.2019.00026