A Probabilistic Sentence Reduction Using Maximum Entropy Model(Natural Language Processing)
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概要
- 論文の詳細を見る
This paper describes a new probabilistic sentence reduction method using maximum entropy model. In contrast to previous methods, the proposed method has the ability to produce multiple best results for a given sentence, which is useful in text summarization applications. Experimental results show that the proposed method improves on earlier methods in both accuracy and computation time.
- 社団法人電子情報通信学会の論文
- 2005-02-01
著者
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Fukushi Masaru
Graduate School Of Information Sciences Tohoku University
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Horiguchi Susumu
Graduate School Of Information Sciences Tohoku University
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Horiguchi Susumu
Graduate School Of Information Science Jaist
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LENGUYEN Minh
Graduate School of Information Science, JAIST
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Lenguyen Minh
Graduate School Of Information Science Jaist
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Horiguchi Susumu
Graduate School Of Computer Science Japan Advanced Institute Of Science And Technology
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