论文标题
将社交媒体帖子与暹罗变形金刚的新闻联系起来
Linking Social Media Posts to News with Siamese Transformers
论文作者
论文摘要
许多计算社会科学项目研究了围绕特定趋势主题的在线话语。这些工作通常涉及与有关事件有关的大规模语料库的获取，以分析对事件的响应的各个方面。关键字搜索虽然有效，但有效地搜索了Precision-Recall折衷和众包注释，却是昂贵的。这项工作旨在启用自动，准确的临时检索评论，讨论来自大型语料库的趋势主题，仅使用少量种子新闻文章。
Many computational social science projects examine online discourse surrounding a specific trending topic. These works often involve the acquisition of large-scale corpora relevant to the event in question to analyze aspects of the response to the event. Keyword searches present a precision-recall trade-off and crowd-sourced annotations, while effective, are costly. This work aims to enable automatic and accurate ad-hoc retrieval of comments discussing a trending topic from a large corpus, using only a handful of seed news articles.
