Evaluating an NLG system using post-editing

Somayajulu G. Sripada; Ehud Reiter; Lezan Hawizy

Evaluating an NLG system using post-editing

Somayajulu G. Sripada, Ehud Reiter, Lezan Hawizy

Computing Science

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

Computer-generated texts, whether from Natural Language Generation (NLG) or Machine Translation (MT) systems, are often post-edited by humans before being released to users. The frequency and type of post-edits is a measure of how well the system works, and can be used for evaluation. We describe how we have used post-edit data to evaluate SUMTIME-MOUSAM, an NLG system that produces weather forecasts.

Original language	English
Pages (from-to)	1700-1701
Number of pages	2
Journal	IJCAI International Joint Conference on Artificial Intelligence
Publication status	Published - 1 Dec 2005
Event	19th International Joint Conference on Artificial Intelligence, IJCAI 2005 - Edinburgh, United Kingdom Duration: 30 Jul 2005 → 5 Aug 2005

Cite this

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AU - Sripada, Somayajulu G.

AU - Reiter, Ehud

AU - Hawizy, Lezan

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N2 - Computer-generated texts, whether from Natural Language Generation (NLG) or Machine Translation (MT) systems, are often post-edited by humans before being released to users. The frequency and type of post-edits is a measure of how well the system works, and can be used for evaluation. We describe how we have used post-edit data to evaluate SUMTIME-MOUSAM, an NLG system that produces weather forecasts.

AB - Computer-generated texts, whether from Natural Language Generation (NLG) or Machine Translation (MT) systems, are often post-edited by humans before being released to users. The frequency and type of post-edits is a measure of how well the system works, and can be used for evaluation. We describe how we have used post-edit data to evaluate SUMTIME-MOUSAM, an NLG system that produces weather forecasts.

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M3 - Conference article

AN - SCOPUS:84880744245

SN - 1045-0823

SP - 1700

EP - 1701

JO - IJCAI International Joint Conference on Artificial Intelligence

JF - IJCAI International Joint Conference on Artificial Intelligence

T2 - 19th International Joint Conference on Artificial Intelligence, IJCAI 2005

Y2 - 30 July 2005 through 5 August 2005

ER -

Evaluating an NLG system using post-editing

Abstract

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