Syntax and Semantics Meet in the “Middle”: Probing the Syntax-Semantics Interface of LMs Through Agentivity

Lindia Tjuatja(Carnegie Mellon University), Graham Neubig(Carnegie Mellon University), Lori Levin(Carnegie Mellon University), Emmy Liu(Carnegie Mellon University)
Unknown
January 1, 2023
10.18653/v1/2023.starsem-1.14
Cited by 2

Related Papers

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
|ACM Computing Surveys|2022|3.5k
Language Models of Code are Few-Shot Commonsense Learners
|Unknown|2022|106
PAL: Program-aided Language Models
|arXiv (Cornell University)|2022|104
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
|Unknown|2023|79
Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design
|Transactions of the Association for Computational Linguistics|2024|61