metaeval/syntactic-augmentation-nli

---
license: mit
task_ids:
- natural-language-inference
task_categories:
- text-classification
language:
- en
---
https://github.com/Aatlantise/syntactic-augmentation-nli/tree/master/datasets
```
@inproceedings{min-etal-2020-syntactic,
title = "Syntactic Data Augmentation Increases Robustness to Inference Heuristics",
author = "Min, Junghyun and
McCoy, R. Thomas and
Das, Dipanjan and
Pitler, Emily and
Linzen, Tal",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.acl-main.212",
doi = "10.18653/v1/2020.acl-main.212",
pages = "2339--2352",
}
```

原始信息汇总

数据集概述

数据集基本信息

• 许可证: MIT
• 任务类型:
  • 自然语言推理
• 任务类别:
  • 文本分类
• 语言:
  • 英语

数据集来源

• 链接: https://github.com/Aatlantise/syntactic-augmentation-nli/tree/master/datasets

相关出版物

• 标题: Syntactic Data Augmentation Increases Robustness to Inference Heuristics
• 作者: Min, Junghyun; McCoy, R. Thomas; Das, Dipanjan; Pitler, Emily; Linzen, Tal
• 出版: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
• 年份: 2020
• 页码: 2339--2352