NewsQuote

NewsQuote数据集由华威大学和伦敦国王学院的研究团队创建，专注于从COVID-19新闻文章中提取引用和说话者信息。该数据集包含24,031对引用-说话者对，覆盖了广泛的全球新闻来源。创建过程中，研究团队利用BERT模型进行自动化的引用和说话者提取，确保数据的高质量和准确性。NewsQuote数据集主要用于支持新闻事实核查中的专家推荐任务，帮助记者和事实核查员快速准确地找到相关领域的权威专家，以增强新闻报道的可信度和准确性。

The NewsQuote dataset was developed by a research team from the University of Warwick and King's College London, focusing on extracting quotes and speaker information from COVID-19 news articles. It contains 24,031 quote-speaker pairs, covering a wide range of global news sources. During the dataset creation process, the research team utilized the BERT model for automated quote and speaker extraction to ensure high data quality and accuracy. The NewsQuote dataset is primarily designed to support expert recommendation tasks in news fact-checking, assisting journalists and fact-checkers to quickly and accurately find authoritative experts in relevant fields, thereby enhancing the credibility and accuracy of news reporting.