@InProceedings{laban-hearst:2017:EventStory,
  author    = {Laban, Philippe  and  Hearst, Marti},
  title     = {newsLens: building and visualizing long-ranging news stories},
  booktitle = {Proceedings of the Events and Stories in the News Workshop},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {1--9},
  abstract  = {We propose a method to aggregate and organize a large, multi-source dataset of
	news articles into a collection of major stories, and automatically name and
	visualize these stories in a working system. The approach is able to run
	online, as new articles are added, processing 4 million news articles from 20
	news sources, and extracting 80000 major stories, some of which span several
	years. The visual interface consists of lanes of timelines, each annotated with
	information that is deemed important for the story, including extracted
	quotations. The working system allows a user to search and navigate 8 years of
	story information.},
  url       = {http://www.aclweb.org/anthology/W17-2701}
}