ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks

Ganesan, Kavita

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https://hdl.handle.net/2142/99160 Copy

Description

Title

ROUGE 2.0: Updated and Improved Measures for Evaluation of Summarization Tasks

Author(s)

Ganesan, Kavita

Issue Date

2015-03

Keyword(s)

rouge, text summarization, evaluation

Abstract

Evaluation of summarization tasks is extremely crucial to determining the quality of machine generated summaries. Over the last decade, ROUGE has become the standard automatic evaluation measure for evaluating summarization tasks. While ROUGE has been shown to be effective in capturing n-gram overlap between system and human composed summaries, there are several limitations with the existing ROUGE measures in terms of capturing synonymous concepts and coverage of topics. Thus, often times ROUGE scores do not reflect the true quality of summaries and prevents multi-faceted evaluation of summaries (i.e. by topics, by overall content coverage and etc). In this paper, we introduce ROUGE 2.0, which has several updated measures of ROUGE: ROUGE-N+Synonyms, ROUGE-Topic, ROUGE-Topic+Synonyms, ROUGE-TopicUniq and ROUGE-TopicUniq+Synonyms; all of which are improvements over the core ROUGE measures.

Type of Resource

• text
• other

Language

en

Permalink

http://hdl.handle.net/2142/99160

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