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| A Confidence Model for Syntactically-Motivated Entailment Proofs Asher Stern, Ido Dagan |
| Dynamic pooling and unfolding recursive autoencoders for paraphrase detection Richard Socher, Eric H Huang, Jeffrey Pennington, Andrew Y Ng, Christopher D Manning |
| Extracting Paraphrases from a Parallel Corpus Regina Barzilay, Kathleen R. McKeown |
| Generating phrasal and sentential paraphrases: A survey of data-driven methods Nitin Madnani, Bonnie J Dorr |
| http://arxiv.org/pdf/1511.08198v1.pdf John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu |
| Improved statistical machine translation using paraphrases Chris Callison-Burch, Philipp Koehn, Miles Osborne |
| Monolingual distributional similarity for text-to-text generation Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch |
| Paraphrase identification as probabilistic quasi-synchronous recognition. Dipanjan Das, Noah A Smith |
| Paraphrasing with bilingual parallel corpora Colin Bannard, Chris Callison-Burch |
| PPDB: The Paraphrase Database Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch |
| Probabilistic tree-edit models with structured latent variables for textual entailment and question answering Mengqiu Wang, Christopher D Manning |
| Semantic Parsing via Paraphrasing Jonathan Berant, Percy Liang |
| TOWARDS UNIVERSAL PARAPHRASTIC SENTENCE EMBEDDINGS John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu |
| Using dependency-based features to take the “para-farce” out of paraphrase Stephen Wan, Mark Dras, Robert Dale, Cécile Paris |
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