Unsupervised Explainable Controversy Detection from Online News.
| Anthology ID: | DBLP:conf/ecir/KimA19 |
|---|---|
| Volume: | Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I |
| Year: | 2019 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 836-843 |
| URL: | https://doi.org/10.1007/978-3-030-15712-8_60 |
| DOI: | https://doi.org/10.1007/978-3-030-15712-8_60 |
| DBLP: | conf/ecir/KimA19 |
| BibTeX: |
@inproceedings{kim-2019-unsupervised,
author = {Youngwoo Kim and
James Allan},
editor = {Leif Azzopardi and
Benno Stein and
Norbert Fuhr and
Philipp Mayr and
Claudia Hauff and
Djoerd Hiemstra},
title = {{Unsupervised Explainable Controversy Detection from Online News}},
booktitle = {{Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I}},
series = {Lecture Notes in Computer Science},
volume = {11437},
pages = {836--843},
publisher = {Springer},
year = {2019},
url = {https://doi.org/10.1007/978-3-030-15712-8_60},
doi = {https://doi.org/10.1007/978-3-030-15712-8_60}
}