Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task
Computation and Language
2017-11-07 v1
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 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.
Cite
@article{arxiv.1711.01505,
title = {Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task},
author = {Allyson Ettinger and Sudha Rao and Hal Daumé and Emily M. Bender},
journal= {arXiv preprint arXiv:1711.01505},
year = {2017}
}
Comments
Updated version of the EMNLP Workshop and Shared Task description paper, Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems. 2017