@inproceedings{mitchell-etal-2018-extrapolation,
title = "Extrapolation in {NLP}",
author = "Mitchell, Jeff and
Stenetorp, Pontus and
Minervini, Pasquale and
Riedel, Sebastian",
editor = "Bisk, Yonatan and
Levy, Omer and
Yatskar, Mark",
booktitle = "Proceedings of the Workshop on Generalization in the Age of Deep Learning",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-1005",
doi = "10.18653/v1/W18-1005",
pages = "28--33",
abstract = "We argue that extrapolation to unseen data will often be easier for models that capture global structures, rather than just maximise their local fit to the training data. We show that this is true for two popular models: the Decomposable Attention Model and word2vec.",
}
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%0 Conference Proceedings
%T Extrapolation in NLP
%A Mitchell, Jeff
%A Stenetorp, Pontus
%A Minervini, Pasquale
%A Riedel, Sebastian
%Y Bisk, Yonatan
%Y Levy, Omer
%Y Yatskar, Mark
%S Proceedings of the Workshop on Generalization in the Age of Deep Learning
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F mitchell-etal-2018-extrapolation
%X We argue that extrapolation to unseen data will often be easier for models that capture global structures, rather than just maximise their local fit to the training data. We show that this is true for two popular models: the Decomposable Attention Model and word2vec.
%R 10.18653/v1/W18-1005
%U https://aclanthology.org/W18-1005
%U https://doi.org/10.18653/v1/W18-1005
%P 28-33
Markdown (Informal)
[Extrapolation in NLP](https://aclanthology.org/W18-1005) (Mitchell et al., Gen-Deep 2018)
ACL
- Jeff Mitchell, Pontus Stenetorp, Pasquale Minervini, and Sebastian Riedel. 2018. Extrapolation in NLP. In Proceedings of the Workshop on Generalization in the Age of Deep Learning, pages 28–33, New Orleans, Louisiana. Association for Computational Linguistics.