Presentation 1998/7/24
A new approach to acquiring linguistic knowledge for summarizing parts of news sentences and its evaluation
Naoto Katoh,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a new approach to acquiring linguistic knowledge that plays an important role in summarizing parts of news sentences. The linguistic knowledge, which is composed of transformation knowledge and transformation condition, can provide linguistic constraint of transforming characters, words, Bunsetsu-phrases in summarizing Japanese sentences. The proposed method analyzes original news sentences and the human-summarized ones by Japanese morphological analyzer, and aligns words in the original sentences with words in the summarized ones by DP matching based on distances between the words. Transformation knowledge is acquired as the result of the difference and transformation condition is extracted as n-gram words located near transformation knowledge. We acquired linguistic knowledge from NHK news corpus and conducted a series of experiments to evaluate the linguistic knowledge.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) automatic summarization / corpus / automatic acquisition / linguistic knowledge / Japanese news / n-gram
Paper # NLC98-16
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Conference Information
Committee NLC
Conference Date 1998/7/24(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) A new approach to acquiring linguistic knowledge for summarizing parts of news sentences and its evaluation
Sub Title (in English)
Keyword(1) automatic summarization
Keyword(2) corpus
Keyword(3) automatic acquisition
Keyword(4) linguistic knowledge
Keyword(5) Japanese news
Keyword(6) n-gram
1st Author's Name Naoto Katoh
1st Author's Affiliation NHK Science and Technical Research Laboratories()
Date 1998/7/24
Paper # NLC98-16
Volume (vol) vol.98
Number (no) 210
Page pp.pp.-
#Pages 8
Date of Issue