The true score of statistical paraphrase generation

Jonathan Chevelu; Ghislain Putois; Yves Lepage

The true score of statistical paraphrase generation

Jonathan Chevelu^*, Ghislain Putois, Yves Lepage

^*この研究の対応する著者

大学院情報生産システム研究科

研究成果 › 査読

3 被引用数 (Scopus)

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This article delves into the scoring function of the statistical paraphrase generation model. It presents an algorithm for exact computation and two applicative experiments. The first experiment analyses the behaviour of a statistical paraphrase generation decoder, and raises some issues with the ordering of n-best outputs. The second experiment shows that a major boost of performance can be obtained by embedding a true score computation inside a Monte-Carlo sampling based paraphrase generator.

本文言語	English
ページ	144-152
ページ数	9
出版ステータス	Published - 2010
イベント	23rd International Conference on Computational Linguistics, Coling 2010 - Beijing, China 継続期間: 2010 8 23 → 2010 8 27

Conference

Conference	23rd International Conference on Computational Linguistics, Coling 2010
国/地域	China
City	Beijing
Period	10/8/23 → 10/8/27

ASJC Scopus subject areas

言語および言語学
計算理論と計算数学
言語学および言語

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引用スタイル

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title = "The true score of statistical paraphrase generation",

abstract = "This article delves into the scoring function of the statistical paraphrase generation model. It presents an algorithm for exact computation and two applicative experiments. The first experiment analyses the behaviour of a statistical paraphrase generation decoder, and raises some issues with the ordering of n-best outputs. The second experiment shows that a major boost of performance can be obtained by embedding a true score computation inside a Monte-Carlo sampling based paraphrase generator.",

author = "Jonathan Chevelu and Ghislain Putois and Yves Lepage",

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AB - This article delves into the scoring function of the statistical paraphrase generation model. It presents an algorithm for exact computation and two applicative experiments. The first experiment analyses the behaviour of a statistical paraphrase generation decoder, and raises some issues with the ordering of n-best outputs. The second experiment shows that a major boost of performance can be obtained by embedding a true score computation inside a Monte-Carlo sampling based paraphrase generator.

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M3 - Paper

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T2 - 23rd International Conference on Computational Linguistics, Coling 2010

Y2 - 23 August 2010 through 27 August 2010

ER -

The true score of statistical paraphrase generation

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Conference

ASJC Scopus subject areas

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