Acknowledgments¶
SyntaxGym is maintained by the MIT Computational Psycholinguistics Laboratory.
We gratefully acknowledge support from the following sources:
NIH (award number T32NS105587)
NSF Graduate Research Fellowship
Open Philanthropy AI Fellowship
MIT-IBM Watson AI Lab
Google Faculty Research Award
Newton Brain Science Award
Citations¶
If you use the website or command-line tools in your research, we ask that you please cite the ACL 2020 system demonstration paper:
@inproceedings{gauthier-etal-2020-syntaxgym,
title = "{S}yntax{G}ym: An Online Platform for Targeted Evaluation of Language Models",
author = "Gauthier, Jon and Hu, Jennifer and Wilcox, Ethan and Qian, Peng and Levy, Roger",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.acl-demos.10",
pages = "70--76",
}
If you use the original test suites, models, or results presented on the website, please cite the ACL 2020 long paper:
@inproceedings{hu-etal-2020-systematic,
title = "A Systematic Assessment of Syntactic Generalization in Neural Language Models",
author = "Hu, Jennifer and Gauthier, Jon and Qian, Peng and Wilcox, Ethan and Levy, Roger",
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://www.aclweb.org/anthology/2020.acl-main.158",
pages = "1725--1744",
}