tasksource/figlang2020-sarcasm

---
language:
- en
---
https://github.com/EducationalTestingService/sarcasm

```
@inproceedings{ghosh-etal-2020-report,
title = "A Report on the 2020 Sarcasm Detection Shared Task",
author = "Ghosh, Debanjan and
Vajpayee, Avijit and
Muresan, Smaranda",
booktitle = "Proceedings of the Second Workshop on Figurative Language Processing",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.figlang-1.1",
doi = "10.18653/v1/2020.figlang-1.1",
pages = "1--11",
abstract = "Detecting sarcasm and verbal irony is critical for understanding people{'}s actual sentiments and beliefs. Thus, the field of sarcasm analysis has become a popular research problem in natural language processing. As the community working on computational approaches for sarcasm detection is growing, it is imperative to conduct benchmarking studies to analyze the current state-of-the-art, facilitating progress in this area. We report on the shared task on sarcasm detection we conducted as a part of the 2nd Workshop on Figurative Language Processing (FigLang 2020) at ACL 2020.",
}
```

原始信息汇总

数据集概述

数据集名称

• Sarcasm Detection Shared Task 2020

数据集来源

• GitHub: https://github.com/EducationalTestingService/sarcasm

相关研究

• 论文标题: A Report on the 2020 Sarcasm Detection Shared Task
• 作者: Ghosh, Debanjan; Vajpayee, Avijit; Muresan, Smaranda
• 发表会议: Proceedings of the Second Workshop on Figurative Language Processing
• 发表时间: July 2020
• 出版商: Association for Computational Linguistics
• 论文链接: https://aclanthology.org/2020.figlang-1.1
• 论文摘要: 该论文报告了在ACL 2020的第2届Figurative Language Processing研讨会上进行的讽刺检测共享任务。讽刺和言语讽刺的检测对于理解人们的实际情感和信念至关重要，已成为自然语言处理中的一个热门研究问题。