SemEval-2022 Task 8: Multilingual news article similarity

This dataset contains pairs of news articles drawn from the first half of 2020 and annotated for seven aspects of similarity: <strong>GEO</strong>: How similar is the geographic focus (places, cities, countries, etc.) of the two articles? <strong>ENT:</strong> How similar are the named entities (e.g., people, companies, organizations, products, named living beings), excluding previously considered locations appearing in the two articles? <strong>TIME</strong> Are the two articles relevant to similar time periods or describing similar time periods? <strong>NAR</strong> How similar are the narrative schemas presented in the two articles? <strong>OVERALL</strong> Overall, are the two articles covering the same substantive news story? (excluding style, framing, and tone) <strong>STYLE</strong> Do the articles have similar writing styles? <strong>TONE</strong> Do the articles have similar tones? Further details are provided in Chen et al. (2022). SemEval-2022 Task 8: Multilingual news article similarity. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022). https://aclanthology.org/2022.semeval-1.155/ The data in this repository includes pairs of URLs and annotations. The text of webpages is generally via the Internet Archive in this special collection: https://archive.org/details/2020-multilingual-news-article-similarity . A script to download and process the webpages is available at https://github.com/euagendas/semeval_8_2022_ia_downloader .

本数据集收录了2020年上半年的新闻文章配对样本，并针对7个相似度维度进行标注：
<strong>GEO</strong>：两篇文章的地理聚焦范围（地点、城市、国家等）相似程度如何？
<strong>ENT</strong>：排除两篇文章中已出现的地理位置外，二者的命名实体（如人物、企业、组织、产品、知名生物等）相似程度如何？
<strong>TIME</strong>：两篇文章是否关联相似时段，或描述了相近的时间区间？
<strong>NAR</strong>：两篇文章呈现的叙事框架相似程度如何？
<strong>OVERALL</strong>：整体而言，两篇文章是否围绕同一实质性新闻事件展开？（不包含文体、叙事视角与语调差异）
<strong>STYLE</strong>：两篇文章的写作风格是否相近？
<strong>TONE</strong>：两篇文章的整体语调是否一致？
详细说明可参见Chen等人(2022)的研究论文《SemEval-2022 任务8：多语言新闻文章相似度》，收录于第16届国际语义评估研讨会（SemEval-2022）论文集：https://aclanthology.org/2022.semeval-1.155/
本仓库包含的数据由URL配对与标注结果两部分组成。网页文本通常通过该专属馆藏的互联网档案馆（Internet Archive）获取：https://archive.org/details/2020-multilingual-news-article-similarity。另有用于下载与处理网页的配套脚本，可在以下地址获取：https://github.com/euagendas/semeval_8_2022_ia_downloader