Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining

Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim. Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining. In Benno Stein, Henning Wachsmuth, editors, Proceedings of the 6th Workshop on Argument Mining, ArgMining@ACL 2019, Florence, Italy, August 1, 2019. pages 58-66, Association for Computational Linguistics, 2019. [doi]

@inproceedings{LaveeOKKGDJBAS19,
  title = {Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining},
  author = {Tamar Lavee and Matan Orbach and Lili Kotlerman and Yoav Kantor and Shai Gretz and Lena Dankin and Michal Jacovi and Yonatan Bilu and Ranit Aharonov and Noam Slonim},
  year = {2019},
  url = {https://www.aclweb.org/anthology/W19-4507/},
  researchr = {https://researchr.org/publication/LaveeOKKGDJBAS19},
  cites = {0},
  citedby = {0},
  pages = {58-66},
  booktitle = {Proceedings of the 6th Workshop on Argument Mining, ArgMining@ACL 2019, Florence, Italy, August 1, 2019},
  editor = {Benno Stein and Henning Wachsmuth},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-950737-33-8},
}