ML Anthology

Experience STORIES: A Visual News Search and Summarization System

Ilija Subasic, Bettina Berendt
ECML-PKDD 2010 pp. 619-623
doi:10.1007/978-3-642-15939-8_47 /ecmlpkdd/2010/subasic2010ecmlpkdd-experience/

Abstract

Using data collections available on the Internet has for many people become the main medium for staying informed about the world. Many of these collections are dynamic by nature, evolving as the subjects they describe change. We present the STORIES system for (a) learning an abstracted story representation from a collection of time-indexed documents; (b) visualizing it in a way that encourages users to interact and explore in order to discover temporal “story stages” depending on their interests; and (c) supporting the search for documents and facts that pertain to the user-constructed story stages.

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Cite

Text

Subasic and Berendt. "Experience STORIES: A Visual News Search and Summarization System." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2010. doi:10.1007/978-3-642-15939-8_47

Markdown

[Subasic and Berendt. "Experience STORIES: A Visual News Search and Summarization System." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2010.](https://mlanthology.org/ecmlpkdd/2010/subasic2010ecmlpkdd-experience/) doi:10.1007/978-3-642-15939-8_47

BibTeX

@inproceedings{subasic2010ecmlpkdd-experience,
  title     = {{Experience STORIES: A Visual News Search and Summarization System}},
  author    = {Subasic, Ilija and Berendt, Bettina},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2010},
  pages     = {619-623},
  doi       = {10.1007/978-3-642-15939-8_47},
  url       = {https://mlanthology.org/ecmlpkdd/2010/subasic2010ecmlpkdd-experience/}
}