To help generate relevant suggestions for researchers, recommendation systems have
started to leverage the latent interests in the publication profiles of the researchers …

To help generate relevant suggestions for researchers, recommendation systems have
started to leverage the latent interests in the publication profiles of the researchers …

Online social streams such as Twitter timelines, forum discussions and email threads have
emerged as important channels for information propagation. Mining transient stories and …

Due to the explosive growth of social-media applications, enhancing event-awareness by
social mining has become extremely important. The contents of microblogs preserve …

Readers of news articles are typically faced with the problem of getting a good
understanding of a complex story covered in an article. However, as news articles mainly …

This article proposes a document-level prompt learning approach using LLMs to extract the
timeline-based storyline. Through verification tests on datasets such as ESCv1. 2 and …

Current news search engines return results in many clusters, but often not very accurate.
This paper studies fine-grained topic detection within news search results, which faces the …

摘要话题关联检测的关键任务在于判断给定报道对是否属于同一话题. 现有判断方法往往忽略
种子事件与其直接相关事件之间的层次关系. 为此, 通过分析报道内部语义分布规律及篇章结构 …

News portals and microblogging platforms have become people's medium of choice for
breaking news and unexpected events, thanks to their ability to provide directions and useful …

The real-time nature and massive volume of social-media data has converted news portals
and micro-blogging platforms into social sensors, causing a flourishing of research on story …