| 2025 | CogSci | Generating Representations In Space with GRIS. | John R. Starr, Ashlyn Winship, Marten van Schijndel |
| 2025 | CogSci | Experimentally extracting implicit instruments. | Ashlyn Winship, Zander Lynch, Marten van Schijndel |
| 2025 | NAACL | Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French. | Jacob Matthews, Laurent Dubreuil, Imane Terhmina, Yunci Sun, Matthew Wilkens, Marten van Schijndel |
| 2024 | ACL | Semantics or spelling? Probing contextual word embeddings with orthographic noise. | Jacob Matthews, John R. Starr, Marten van Schijndel |
| 2024 | CogSci | Does Dependency Locality Predict Non-canonical Word Order in Hindi? | Sidharth Ranjan, Marten van Schijndel |
| 2023 | EMNLP | Linguistic Compression in Single-Sentence Human-Written Summaries. | Fangcong Yin, Marten van Schijndel |
| 2022 | EMNLP | Discourse Context Predictability Effects in Hindi Word Order. | Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar |
| 2022 | IJCNLP | Dual Mechanism Priming Effects in Hindi Word Order. | Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, Rajakrishnan Rajkumar |
| 2021 | ACL | Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning. | Forrest Davis, Marten van Schijndel |
| 2021 | ACL | To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text. | Matt Wilber, William Timkey, Marten van Schijndel |
| 2021 | EMNLP | All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality. | William Timkey, Marten van Schijndel |
| 2020 | ACL | Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment. | Forrest Davis, Marten van Schijndel |
| 2020 | CogSci | Interaction with Context During Recurrent Neural Network Sentence Processing. | Forrest Davis, Marten van Schijndel |
| 2020 | CoNLL | Filler-gaps that neural networks fail to generalize. | Debasmita Bhattacharya, Marten van Schijndel |
| 2020 | CoNLL | Discourse structure interacts with reference but not syntax in neural language models. | Forrest Davis, Marten van Schijndel |
| 2019 | CoNLL | Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models. | Grusha Prasad, Marten van Schijndel, Tal Linzen |
| 2019 | EMNLP | Quantity doesn't buy quality syntax with neural language models. | Marten van Schijndel, Aaron Mueller, Tal Linzen |
| 2018 | CogSci | Modeling garden path effects without explicit hierarchical syntax. | Marten van Schijndel, Tal Linzen |
| 2018 | EMNLP | A Neural Model of Adaptation in Reading. | Marten van Schijndel, Tal Linzen |
| 2017 | CogSci | Approximations of Predictive Entropy Correlate with Reading Times. | Marten van Schijndel, William Schuler |
| 2015 | NAACL | Hierarchic syntax improves reading time prediction. | Marten van Schijndel, William Schuler |
| 2014 | ACL | Bootstrapping into Filler-Gap: An Acquisition Story. | Marten van Schijndel, Micha Elsner |
| 2014 | CogSci | Frequency effects in the processing of unbounded dependencies. | Marten van Schijndel, William Schuler, Peter W. Culicover |
| 2013 | NAACL | An Analysis of Frequency- and Memory-Based Processing Costs. | Marten van Schijndel, William Schuler |
| 2012 | COLING | Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars. | Luan Nguyen, Marten van Schijndel, William Schuler |