From b3ab45c4545539cd7f505708f4577638d299b12b Mon Sep 17 00:00:00 2001 From: RenShuhuai-Andy <739584819@qq.com> Date: Thu, 23 Sep 2021 11:19:39 +0800 Subject: [PATCH 1/2] Add an ACL'19 paper and an EMNLP'21 paper --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index acfce41..28c83b2 100644 --- a/README.md +++ b/README.md @@ -48,6 +48,7 @@ Inquiries should be directed to stevenyfeng@gmail.com or by opening an issue her | Text Augmentation in a Multi-Task View [(EACL '21)](https://www.aclweb.org/anthology/2021.eacl-main.252/) | SST2, TREC, SUBJ | | GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation [(arXiv '21)](https://arxiv.org/abs/2104.08826) | SST2, CR, TREC, SUBJ, MPQA, CoLA | | Few-Shot Text Classification with Triplet Loss, Data Augmentation, and Curriculum Learning [(NAACL '21)](https://arxiv.org/abs/2103.07552) [code](https://github.com/jasonwei20/triplet-loss) | HUFF, COV-Q, AMZN, FEWREL | +| Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification [(EMNLP '21)](https://arxiv.org/abs/2109.00523) [code](https://github.com/lancopku/text-autoaugment) | IMDB, SST2, SST5, TREC, YELP2, YELP5 | ### Translation @@ -210,6 +211,7 @@ Inquiries should be directed to stevenyfeng@gmail.com or by opening an issue her | Breaking NLI Systems with Sentences that Require Simple Lexical Inferences [(ACL '18)](https://www.aclweb.org/anthology/P18-2103/) | SNLI, SciTail, MultiNLI | | Certified Robustness to Adversarial Word Substitutions [(EMNLP '19)](https://www.aclweb.org/anthology/D19-1423/) [code](https://github.com/robinjia/certified-word-sub)| IMDB, SNLI | | PAWS: Paraphrase Adversaries from Word Scrambling [(NAACL '19)](https://www.aclweb.org/anthology/N19-1131/) [code](https://github.com/google-research-datasets/paws)| PAWS (QQP + Wikipedia) | +| Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency [(ACL '19)](https://aclanthology.org/P19-1103.pdf) [code](https://github.com/JHL-HUST/PWWS) | IMDB, AG’s News, Yahoo Answers | ### Compositionality @@ -225,6 +227,7 @@ Inquiries should be directed to stevenyfeng@gmail.com or by opening an issue her | ------------------------------------------------------------ | --------------------------- | | Learning Data Manipulation for Augmentation and Weighting [(NeurIPS '19)](https://papers.nips.cc/paper/2019/file/671f0311e2754fcdd37f70a8550379bc-Paper.pdf) [code](https://github.com/tanyuqian/learning-data-manipulation) | SST, IMDB, TREC, CIFAR-10 | | Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight [(ACL '20)](https://www.aclweb.org/anthology/2020.acl-main.564.pdf) | DailyDialog, OpenSubtitles | +| Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification [(EMNLP '21)](https://arxiv.org/abs/2109.00523) [code](https://github.com/lancopku/text-autoaugment) | IMDB, SST2, SST5, TREC, YELP2, YELP5 | ### Popular Resources From 8cbaef4867a2fd17d7efe15fed83443af050e708 Mon Sep 17 00:00:00 2001 From: RenShuhuai-Andy <739584819@qq.com> Date: Thu, 23 Sep 2021 11:27:30 +0800 Subject: [PATCH 2/2] fix link --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 28c83b2..bba626d 100644 --- a/README.md +++ b/README.md @@ -211,7 +211,7 @@ Inquiries should be directed to stevenyfeng@gmail.com or by opening an issue her | Breaking NLI Systems with Sentences that Require Simple Lexical Inferences [(ACL '18)](https://www.aclweb.org/anthology/P18-2103/) | SNLI, SciTail, MultiNLI | | Certified Robustness to Adversarial Word Substitutions [(EMNLP '19)](https://www.aclweb.org/anthology/D19-1423/) [code](https://github.com/robinjia/certified-word-sub)| IMDB, SNLI | | PAWS: Paraphrase Adversaries from Word Scrambling [(NAACL '19)](https://www.aclweb.org/anthology/N19-1131/) [code](https://github.com/google-research-datasets/paws)| PAWS (QQP + Wikipedia) | -| Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency [(ACL '19)](https://aclanthology.org/P19-1103.pdf) [code](https://github.com/JHL-HUST/PWWS) | IMDB, AG’s News, Yahoo Answers | +| Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency [(ACL '19)](https://aclanthology.org/P19-1103/) [code](https://github.com/JHL-HUST/PWWS) | IMDB, AG’s News, Yahoo Answers | ### Compositionality