Presentation 1997/7/25
The Reliability of Human Coding and Effects on Automatic Abstracting
Tadashi Nomoto, Yuji Matsumoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We discuss a particular approach to automatic abstracting, where an abstract is created by extracting important sentences from a text. A primary purpose of the paper is to demonstrate that the reliability of human supplied annotations on corpora has crucial effects on how well an automatic abstracting system performs. The corpus is developed through human judegments on possible summary sentences in a text. The reliability of human judgements is evaluated by the kappa statistic, a reliability metric standardly used in behavioral sciences. The C4.5 decision tree method (Quinlan, 1993) is used to build a extraction model. We demonstrate that there is a positive correlation of data reliability with a performance of automatic abstracting, and show results indicating that the reliability of human provided data is crucial for improving the performance of automatic abstracting.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) NATURAL LANGUAGE PROCESSING / JAPANESE / AUTOMATIC ABSTRACTING / SUMMARIZATION / CORPUS
Paper # NLC97-18
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Committee NLC
Conference Date 1997/7/25(1days)
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Paper Information
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) The Reliability of Human Coding and Effects on Automatic Abstracting
Sub Title (in English)
Keyword(1) NATURAL LANGUAGE PROCESSING
Keyword(2) JAPANESE
Keyword(3) AUTOMATIC ABSTRACTING
Keyword(4) SUMMARIZATION
Keyword(5) CORPUS
1st Author's Name Tadashi Nomoto
1st Author's Affiliation Advanced Research Laboratory, Hitachi Ltd.()
2nd Author's Name Yuji Matsumoto
2nd Author's Affiliation Nara Institute of Science and Technology
Date 1997/7/25
Paper # NLC97-18
Volume (vol) vol.97
Number (no) 200
Page pp.pp.-
#Pages 6
Date of Issue