Surprisal Estimators for Human Reading Times Need Character Models. - Byung-Doh Oh; Christian Clark 001; William Schuler (ACL/IJCNLP (1), 2021)

Comparison of Structural Parsers and Neural Language Models as Surprisal Estimators. - Byung-Doh Oh; Christian Clark 001; William Schuler (Frontiers Artif. Intell., 2022)

Categorial grammar induction from raw data. - Christian Clark 001; William Schuler (ACL (Findings), 2023)

Categorial Grammar Induction with Stochastic Category Selection. - Christian Clark 001; William Schuler (LREC/COLING, 2024)

Linear Recency Bias During Training Improves Transformers' Fit to Reading Times. - Christian Clark 001; Byung-Doh Oh; William Schuler (COLING, 2025)

How Well Does First-Token Entropy Approximate Word Entropy as a Psycholinguistic Predictor? - Christian Clark 001; Byung-Doh Oh; William Schuler (IJCNLP-AACL (Short Papers), 2025)