@inproceedings{hossain-etal-2020-predicting,
title = "Predicting the Focus of Negation: Model and Error Analysis",
author = "Hossain, Md Mosharaf and
Hamilton, Kathleen and
Palmer, Alexis and
Blanco, Eduardo",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.acl-main.743",
doi = "10.18653/v1/2020.acl-main.743",
pages = "8389--8401",
abstract = "The focus of a negation is the set of tokens intended to be negated, and a key component for revealing affirmative alternatives to negated utterances. In this paper, we experiment with neural networks to predict the focus of negation. Our main novelty is leveraging a scope detector to introduce the scope of negation as an additional input to the network. Experimental results show that doing so obtains the best results to date. Additionally, we perform a detailed error analysis providing insights into the main error categories, and analyze errors depending on whether the model takes into account scope and context information.",
}
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%0 Conference Proceedings
%T Predicting the Focus of Negation: Model and Error Analysis
%A Hossain, Md Mosharaf
%A Hamilton, Kathleen
%A Palmer, Alexis
%A Blanco, Eduardo
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 jul
%I Association for Computational Linguistics
%C Online
%F hossain-etal-2020-predicting
%X The focus of a negation is the set of tokens intended to be negated, and a key component for revealing affirmative alternatives to negated utterances. In this paper, we experiment with neural networks to predict the focus of negation. Our main novelty is leveraging a scope detector to introduce the scope of negation as an additional input to the network. Experimental results show that doing so obtains the best results to date. Additionally, we perform a detailed error analysis providing insights into the main error categories, and analyze errors depending on whether the model takes into account scope and context information.
%R 10.18653/v1/2020.acl-main.743
%U https://aclanthology.org/2020.acl-main.743
%U https://doi.org/10.18653/v1/2020.acl-main.743
%P 8389-8401
Markdown (Informal)
[Predicting the Focus of Negation: Model and Error Analysis](https://aclanthology.org/2020.acl-main.743) (Hossain et al., ACL 2020)
ACL
- Md Mosharaf Hossain, Kathleen Hamilton, Alexis Palmer, and Eduardo Blanco. 2020. Predicting the Focus of Negation: Model and Error Analysis. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 8389–8401, Online. Association for Computational Linguistics.