Unsupervised Explainable Controversy Detection from Online News

YoungWoo Kim, James Allan. Unsupervised Explainable Controversy Detection from Online News. In Leif Azzopardi, Benno Stein, Norbert Fuhr, Philipp Mayr, Claudia Hauff, Djoerd Hiemstra, editors, Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I. Volume 11437 of Lecture Notes in Computer Science, pages 836-843, Springer, 2019. [doi]

@inproceedings{KimA19-1,
  title = {Unsupervised Explainable Controversy Detection from Online News},
  author = {YoungWoo Kim and James Allan},
  year = {2019},
  doi = {10.1007/978-3-030-15712-8_60},
  url = {https://doi.org/10.1007/978-3-030-15712-8_60},
  researchr = {https://researchr.org/publication/KimA19-1},
  cites = {0},
  citedby = {0},
  pages = {836-843},
  booktitle = {Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I},
  editor = {Leif Azzopardi and Benno Stein and Norbert Fuhr and Philipp Mayr and Claudia Hauff and Djoerd Hiemstra},
  volume = {11437},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-15712-8},
}