@inproceedings{ettinger-etal-2017-towards,
title = "Towards Linguistically Generalizable {NLP} Systems: A Workshop and Shared Task",
author = "Ettinger, Allyson and
Rao, Sudha and
Daum{\'e} III, Hal and
Bender, Emily M.",
editor = "Bender, Emily and
Daum{\'e} III, Hal and
Ettinger, Allyson and
Rao, Sudha",
booktitle = "Proceedings of the First Workshop on Building Linguistically Generalizable {NLP} Systems",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-5401",
doi = "10.18653/v1/W17-5401",
pages = "1--10",
abstract = "This paper presents a summary of the first Workshop on Building Linguistically Generalizable Natural Language Processing Systems, and the associated Build It Break It, The Language Edition shared task. The goal of this workshop was to bring together researchers in NLP and linguistics with a carefully designed shared task aimed at testing the generalizability of NLP systems beyond the distributions of their training data. We describe the motivation, setup, and participation of the shared task, provide discussion of some highlighted results, and discuss lessons learned.",
}
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%0 Conference Proceedings
%T Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task
%A Ettinger, Allyson
%A Rao, Sudha
%A Daumé III, Hal
%A Bender, Emily M.
%Y Bender, Emily
%Y Daumé III, Hal
%Y Ettinger, Allyson
%Y Rao, Sudha
%S Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F ettinger-etal-2017-towards
%X This paper presents a summary of the first Workshop on Building Linguistically Generalizable Natural Language Processing Systems, and the associated Build It Break It, The Language Edition shared task. The goal of this workshop was to bring together researchers in NLP and linguistics with a carefully designed shared task aimed at testing the generalizability of NLP systems beyond the distributions of their training data. We describe the motivation, setup, and participation of the shared task, provide discussion of some highlighted results, and discuss lessons learned.
%R 10.18653/v1/W17-5401
%U https://aclanthology.org/W17-5401
%U https://doi.org/10.18653/v1/W17-5401
%P 1-10
Markdown (Informal)
[Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task](https://aclanthology.org/W17-5401) (Ettinger et al., 2017)
ACL