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Towards Universal Paraphrastic Sentence Embeddings
- J. Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
- Computer ScienceICLR
- 25 November 2015
TLDR
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
- Mohit Iyyer, J. Wieting, Kevin Gimpel, Luke Zettlemoyer
- Computer ScienceNAACL
- 17 April 2018
TLDR
From Paraphrase Database to Compositional Paraphrase Model and Back
- J. Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
- Computer ScienceTACL
- 10 June 2015
TLDR
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
- J. Wieting, Kevin Gimpel
- Computer ScienceACL
- 15 November 2017
TLDR
Reformulating Unsupervised Style Transfer as Paraphrase Generation
- Kalpesh Krishna, J. Wieting, Mohit Iyyer
- Computer ScienceEMNLP
- 12 October 2020
TLDR
Charagram: Embedding Words and Sentences via Character n-grams
- J. Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu
- Computer ScienceEMNLP
- 1 July 2016
TLDR
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
- J. Wieting, Kevin Gimpel
- Computer ScienceACL
- 30 April 2017
TLDR
Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
- J. Clark, Dan Garrette, Iulia Turc, J. Wieting
- Computer ScienceTACL
- 11 March 2021
TLDR
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity
- J. Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig
- Computer ScienceACL
- 1 July 2019
TLDR
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
- J. Wieting, Jonathan Mallinson, Kevin Gimpel
- Computer ScienceEMNLP
- 1 June 2017
We consider the problem of learning general-purpose, paraphrastic sentence embeddings in the setting of Wieting et al. (2016b). We use neural machine translation to generate sentential paraphrases…
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