A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics

Ehud Aharoni, Anatoly Polnarov, Tamar Lavee, Daniel Hershcovich, Ran Levy, Ruty Rinott, Dan Gutfreund, Noam Slonim. A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics. In Proceedings of the First Workshop on Argument Mining, hosted by the 52nd Annual Meeting of the Association for Computational Linguistics, ArgMining@ACL 2014, June 26, 2014, Baltimore, Maryland, USA. pages 64-68, The Association for Computer Linguistics, 2014. [doi]

@inproceedings{AharoniPLHLRGS14,
  title = {A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics},
  author = {Ehud Aharoni and Anatoly Polnarov and Tamar Lavee and Daniel Hershcovich and Ran Levy and Ruty Rinott and Dan Gutfreund and Noam Slonim},
  year = {2014},
  url = {http://aclweb.org/anthology/W/W14/W14-2109.pdf},
  researchr = {https://researchr.org/publication/AharoniPLHLRGS14},
  cites = {0},
  citedby = {0},
  pages = {64-68},
  booktitle = {Proceedings of the First Workshop on Argument Mining, hosted by the 52nd Annual Meeting of the Association for Computational Linguistics, ArgMining@ACL 2014, June 26, 2014, Baltimore, Maryland, USA},
  publisher = {The Association for Computer Linguistics},
}