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nlp:paraphrase [2021/06/23 22:45] – [Paraphrase Generation] jmflanignlp:paraphrase [2023/07/26 20:22] (current) jmflanig
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 ===== Paraphrase Identification ===== ===== Paraphrase Identification =====
 +  * [[https://arxiv.org/pdf/1711.05732.pdf|Wieting & Gimpel 2017 - ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations]]
 +
 ==== Datasets ==== ==== Datasets ====
   * Microsoft Research Paraphrase Corpus: [[https://www.microsoft.com/en-us/download/details.aspx?id=52398|Dataset]], paper: [[https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/I05-50025B15D.pdf|Dolan & Brockett 2003 - Automatically Constructing a Corpus of Sentential Paraphrases]]   * Microsoft Research Paraphrase Corpus: [[https://www.microsoft.com/en-us/download/details.aspx?id=52398|Dataset]], paper: [[https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/I05-50025B15D.pdf|Dolan & Brockett 2003 - Automatically Constructing a Corpus of Sentential Paraphrases]]
 +  * PAWS: [[https://arxiv.org/pdf/1904.01130.pdf|Zhang et al 2019 - PAWS: Paraphrase Adversaries from Word Scrambling]]
 +  * PAWS-X: [[https://arxiv.org/pdf/1908.11828.pdf|Yang et al 2019 - PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification]]
  
 ===== Paraphrase Generation ===== ===== Paraphrase Generation =====
-  * [[https://huggingface.co/mrm8488/t5-small-finetuned-quora-for-paraphrasing|Google's T5 fine-tuned on Quora question pair dataset for Question Paraphrasing task]]+  * [[https://huggingface.co/mrm8488/t5-small-finetuned-quora-for-paraphrasing|Google's T5 fine-tuned on  
 +Quora question pair dataset for Question Paraphrasing task]] 
 + 
 +===== Miscellaneous Papers ===== 
 +  * [[https://arxiv.org/pdf/2210.11563.pdf|Tu et al 2022 - Dense Paraphrasing for Textual Enrichment]]
  
 ===== Question to Statement ===== ===== Question to Statement =====
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 **Related pages:** [[Question Generation]] **Related pages:** [[Question Generation]]
 +
 +===== Applications =====
 +  * [[https://aclanthology.org/P19-1610.pdf|Gan & Ng 2019 - Improving the Robustness of Question Answering Systems to Question Paraphrasing]]
  
 ===== Related Pages ====== ===== Related Pages ======
   * [[Entailment]]   * [[Entailment]]
 +  * [[Semantics]]
  
nlp/paraphrase.1624488318.txt.gz · Last modified: 2023/06/15 07:36 (external edit)

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