Abstract
The validity of applying paraphrase rules depends on the domain of the text that they are being applied to. We develop a novel method for extracting domain-specific paraphrases. We adapt the bilin-gual pivoting paraphrase method to bias the training data to be more like our tar-get domain of biology. Our best model results in higher precision while retaining complete recall, giving a 10% relative im-provement in AUC.
Cite
CITATION STYLE
Pavlick, E., Ganitkevitch, J., Chan, T. P., Yao, X., Van Durme, B., & Callison-Burch, C. (2015). Domain-specific paraphrase extraction. In ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference (Vol. 2, pp. 57–62). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/p15-2010
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