Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining
2018pp. 599–605
Citations Over TimeTop 10% of 2018 papers
Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim
Abstract
Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2018.
Related Papers
- → Theoretical Considerations on Analytical Framework Design for the Interactions between Participants in Group Argumentation on Socio-Scientific Issues(2012)6 cited
- → The argumentation in Galatians(2010)2 cited
- → The Basic Categories and Assumptions for Contemporary Chinese Argumentation Studies(2016)
- → Feminisms and Argumentation(2016)
- → The Preservation of Amoraic Argumentation(1990)