SyntaxGym: An Online Platform for Targeted Evaluation of Language Models

• Main Authors: Gauthier, Jon (Author), Hu, Jennifer (Author), Wilcox, Ethan (Author), Qian, Peng (Author), Levy, Roger (Author)
• Format: Article
• Language: English
• Published: Association for Computational Linguistics (ACL), 2021-12-01T17:49:30Z.
• Subjects: Article
• Online Access: Get fulltext

 Targeted syntactic evaluations have yielded insights into the generalizations learned by neural network language models. However, this line of research requires an uncommon confluence of skills: both the theoretical knowledge needed to design controlled psycholinguistic experiments, and the technical proficiency needed to train and deploy large-scale language models. We present SyntaxGym, an online platform designed to make targeted evaluations accessible to both experts in NLP and linguistics, reproducible across computing environments, and standardized following the norms of psycholinguistic experimental design. This paper releases two tools of independent value for the computational linguistics community: 1. A website, syntaxgym.org, which centralizes the process of targeted syntactic evaluation and provides easy tools for analysis and visualization; 2. Two command-line tools, syntaxgym and lm-zoo, which allow any user to reproduce targeted syntactic evaluations and general language model inference on their own machine.