Presentation 2003/10/30
An Automatic Evaluation Method of Machine-generated Extracts(Natural Language Understanding and Models of Communication)
Hideto Kazawa, Thomas Arrigan, Tsutomu Hirao, Eisaku Maeda,
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Abstract(in English) Recently in the automatic summarization community, there have been many research initiatives in which machine-generated summaries are compared using the same documents. In most of these initiatives, the summaries are evaluated by humans and thus it is difficult to compare these results with new methods once the evaluation was finished. In this paper, we propose a new automatic evaluation method which combines the information from the human-created summaries and the machine-generated summaries evaluated in the past (pooling data). The experimental results show that out method is better than existing evaluation methods and the pooling data improves the performance significantly.
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Keyword(in English) automatic summarization / extract / automatic evaluation / pooling data / overlap measure
Paper # NLC2003-29
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Committee NLC
Conference Date 2003/10/30(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Automatic Evaluation Method of Machine-generated Extracts(Natural Language Understanding and Models of Communication)
Sub Title (in English)
Keyword(1) automatic summarization
Keyword(2) extract
Keyword(3) automatic evaluation
Keyword(4) pooling data
Keyword(5) overlap measure
1st Author's Name Hideto Kazawa
1st Author's Affiliation NTT Communication Science Laboratories()
2nd Author's Name Thomas Arrigan
2nd Author's Affiliation NTT Communication Science Laboratories
3rd Author's Name Tsutomu Hirao
3rd Author's Affiliation NTT Communication Science Laboratories
4th Author's Name Eisaku Maeda
4th Author's Affiliation NTT Communication Science Laboratories
Date 2003/10/30
Paper # NLC2003-29
Volume (vol) vol.103
Number (no) 407
Page pp.pp.-
#Pages 6
Date of Issue