Robustness beyond shallowness: incremental deep parsing
Natural Language Engineering
Learning to paraphrase: an unsupervised approach using multiple-sequence alignment
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Syntax-based alignment of multiple translations: extracting paraphrases and generating new sentences
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Paraphrasing with bilingual parallel corpora
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
ParaMetric: an automatic evaluation metric for paraphrasing
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Syntactic constraints on paraphrases extracted from parallel corpora
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Using paraphrases for parameter tuning in statistical machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Rich source-side context for statistical machine translation
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Improving translation via targeted paraphrasing
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Leveraging multiple MT engines for paraphrase generation
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
FLOW: a first-language-oriented writing assistant system
ACL '12 Proceedings of the ACL 2012 System Demonstrations
Joint learning of a dual SMT system for paraphrase generation
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Using targeted paraphrasing and monolingual crowdsourcing to improve translation
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Multitechnique paraphrase alignment: A contribution to pinpointing sub-sentential paraphrases
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
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The ability to generate or to recognize paraphrases is key to the vast majority of NLP applications. As correctly exploiting context during translation has been shown to be successful, using context information for paraphrasing could also lead to improved performance. In this article, we adopt the pivot approach based on parallel multilingual corpora proposed by (Bannard and Callison-Burch, 2005), which finds short paraphrases by finding appropriate pivot phrases in one or several auxiliary languages and back-translating these pivot phrases into the original language. We show how context can be exploited both when attempting to find pivot phrases, and when looking for the most appropriate paraphrase in the original subsentential "envelope". This framework allows the use of paraphrasing units ranging from words to large sub-sentential fragments for which context information from the sentence can be successfully exploited. We report experiments on a text revision task, and show that in these experiments our contextual sub-sentential paraphrasing system outperforms a strong baseline system.