2018

Cross-topic Argument Mining from Heterogeneous Sources


Christian Stab, Tristan Miller, Benjamin Schiller, Pranav Rai, Iryna Gurevych

Association for Computational Linguistics, Brussels, Belgium, to appear

Cross-topic Argument Mining from Heterogeneous Sources. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP).

PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection


Steffen Eger, Andreas Rücklé, Iryna Gurevych

Association for Computational Linguistics, Brussels, Belgium, to appear

PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection. In 5th Workshop on Argument Mining at the 2018 Conference on Empirical Methods in Natural Language Processing.

Cross-Lingual Argumentative Relation Identification: from English to Portuguese


Gil Rocha, Christian Stab, Henrique Lopes Cardoso, Iryna Gurevych

Association for Computational Linguistics, Brussels, Belgium, to appear

Cross-Lingual Argumentative Relation Identification: from English to Portuguese. In 5th Workshop on Argument Mining at the 2018 Conference on Empirical Methods in Natural Language Processing.

Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!


Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych

Association for Computational Linguistics, Santa Fe, NM, USA, pages 831-844

Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018).

ArgumenText: Searching for Arguments in Heterogeneous Sources


Christian Stab, Johannes Daxenberger, Chris Stahlhut, Tristan Miller, Benjamin Schiller, Christopher Tauchmann, Steffen Eger, Iryna Gurevych

Association for Computational Linguistics, New Orleans, LA, USA, pages 21–25

ArgumenText: Searching for Arguments in Heterogeneous Sources. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Demo).

Multi-Task Learning for Argumentation Mining in Low-Resource Settings


Claudia Schulz, Steffen Eger, Johannes Daxenberger, Tobias Kahse, Iryna Gurevych

Association for Computational Linguistics, New Orleans, LA, USA, pages 35–41

Multi-Task Learning for Argumentation Mining in Low-Resource Settings. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks


Christian Stab, Tristan Miller, Iryna Gurevych. 2018.

arxiv preprint: arXiv:1802.05758

Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks. Arxiv Preprint.

2017

What is the essence of a claim?


Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, and Iryna Gurevych. 2017.

Association for Computational Linguistics, Copenhagen, Denmark, pages 2045–2056.

What is the essence of a claim? Cross-domain claim identification. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing.

Neural end-to-end learning for computational argumentation mining.


Steffen Eger, Johannes Daxenberger, and Iryna Gurevych. 2017.

Association for Computational Linguistics, Vancouver, Canada, pages 11–22.

Neural end-to-end learning for computational argumentation mining. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Parsing argumentation structures in persuasive essays.


Christian Stab and Iryna Gurevych. 2017.

Computational Linguistics 43(3):619–659.

Parsing argumentation structures in persuasive essays.

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