KE-QI
收藏arXiv2022-08-24 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2206.07556v3
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资源简介：
KE-QI数据集是由苏州大学人工智能研究院和百度公司合作创建的，旨在通过7个客观指标评估文章质量。该数据集包含10000篇文章，每篇文章都通过专业标注者进行7个维度的评分。数据集的创建过程中，利用百度词法分析器提取文章实体，并将其链接到百度百科，以增强文章识别的准确性。KE-QI数据集主要应用于社交媒体文章筛选，帮助自动过滤高质量文章，提升用户阅读体验。
The KE-QI Dataset was jointly developed by the Institute of Artificial Intelligence at Soochow University and Baidu Inc., aiming to evaluate article quality through seven objective metrics. This dataset includes 10,000 articles, each scored by professional annotators across seven dimensions. During the dataset's construction process, the Baidu Lexical Analyzer was employed to extract entities from the articles and link them to Baidu Encyclopedia, thereby enhancing the accuracy of article recognition. The KE-QI Dataset is mainly applied to social media article screening, assisting in automatically filtering high-quality articles and improving users' reading experience.
提供机构：
百度公司
创建时间：
2022-06-15
