@inproceedings{chernodub-etal-2019-targer,
title = "{TARGER}: Neural Argument Mining at Your Fingertips",
author = "Chernodub, Artem and
Oliynyk, Oleksiy and
Heidenreich, Philipp and
Bondarenko, Alexander and
Hagen, Matthias and
Biemann, Chris and
Panchenko, Alexander",
editor = "Costa-juss{\`a}, Marta R. and
Alfonseca, Enrique",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-3031",
doi = "10.18653/v1/P19-3031",
pages = "195--200",
abstract = "We present TARGER, an open source neural argument mining framework for tagging arguments in free input texts and for keyword-based retrieval of arguments from an argument-tagged web-scale corpus. The currently available models are pre-trained on three recent argument mining datasets and enable the use of neural argument mining without any reproducibility effort on the user{'}s side. The open source code ensures portability to other domains and use cases.",
}
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%0 Conference Proceedings
%T TARGER: Neural Argument Mining at Your Fingertips
%A Chernodub, Artem
%A Oliynyk, Oleksiy
%A Heidenreich, Philipp
%A Bondarenko, Alexander
%A Hagen, Matthias
%A Biemann, Chris
%A Panchenko, Alexander
%Y Costa-jussà, Marta R.
%Y Alfonseca, Enrique
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F chernodub-etal-2019-targer
%X We present TARGER, an open source neural argument mining framework for tagging arguments in free input texts and for keyword-based retrieval of arguments from an argument-tagged web-scale corpus. The currently available models are pre-trained on three recent argument mining datasets and enable the use of neural argument mining without any reproducibility effort on the user’s side. The open source code ensures portability to other domains and use cases.
%R 10.18653/v1/P19-3031
%U https://aclanthology.org/P19-3031
%U https://doi.org/10.18653/v1/P19-3031
%P 195-200
Markdown (Informal)
[TARGER: Neural Argument Mining at Your Fingertips](https://aclanthology.org/P19-3031) (Chernodub et al., ACL 2019)
ACL
- Artem Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, and Alexander Panchenko. 2019. TARGER: Neural Argument Mining at Your Fingertips. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 195–200, Florence, Italy. Association for Computational Linguistics.