Measuring the Appropriateness of Automatically Generated Phrasal Paraphrases

FUJITA Atsushi; SATO Satoshi

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J-GLOBAL ID：201002260646402608 Reference number：10A0162629

Measuring the Appropriateness of Automatically Generated Phrasal Paraphrases

自動生成句パラフレーズの適切性の計測

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Volume： 17 Issue： 1 Page： 183-219 Publication year： Jan. 10, 2010
JST Material Number： L3934A ISSN： 1340-7619 Document type： Article
Article type：原著論文 Country of issue： Japan (JPN) Language： ENGLISH (EN)

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Natural language processing , System and control theory in general

Reference (47)：

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BARZILAY, R. Extracting paraphrases from a parallel corpus. Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics (ACL), 2001. 2001, 50-57
BARZILAY, R. Learning to paraphrase : an unsupervised approach using multiple-sequence alignment. Proceedings of the 2003 Human Language Technology Conference and the North American Chapter of the Association for Computational Linguistics (HLT-NAACL). 2003, 16-23
BHAGAT, R. LEDIR : an unsupervised algorithm for learning directionality of inference rules. Proceedings of the 2007 Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). 2007, 161-170
DOLAN, B. Unsupervised construction of large paraphrase corpora : exploiting massively parallel news sources. Proceedings of the 20th International Conference on Computational Linguistics (COLING), 2004. 2004, 350-356

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