Differences

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--- nlp:paraphrase [2021/04/02 04:05] – [Paraphrase] jmflanig
+++ nlp:paraphrase [2023/07/26 20:22] (current) – jmflanig
@@ Line 3: / Line 3: @@
 ===== 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 ====
   * 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 =====
+  * [[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 =====
+Task: convert a question (and possibly the answer) into a statement.  Not quite paraphrase exactly, but related.
+  * [[https://github.com/SunnyWay/question_to_statement]]
+  * [[https://arxiv.org/pdf/1809.02922.pdf|Demszky et al 2018 - Transforming Question Answering Datasets Into Natural Language Inference Datasets]]. [[https://bit.ly/2OMm4vK|dataset]]
+**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 ======
   * [[Entailment]]
+  * [[Semantics]]