Publications

Journal Articles

Marten van Schijndel and Tal Linzen. "Single-stage prediction models do not explain the magnitude of syntactic disambiguation difficulty." Cognitive Science, 45 (6): e12988. 2021.
Cory Shain, Idan Blank, Marten van Schijndel, William Schuler, and Evelina Fedorenko. "fMRI reveals language-specific predictive coding during naturalistic sentence comprehension." Neuropsychologia, 138: 107307. 2020.
Rajakrishnan Rajkumar, Marten van Schijndel, Michael White, and William Schuler. "Investigating Locality Effects and Surprisal in Written English Syntactic Choice Phenomena." Cognition, 155: 204-232. 2016.
Alessandra Zarcone, Marten van Schijndel, Jorrig Vogels, and Vera Demberg. "Salience and attention in surprisal-based accounts of language processing." Frontiers in Psychology, 7 (844). 2016.
Marten van Schijndel, Andy Exley, and William Schuler. "A Model of Language Processing as Hierarchic Sequential Prediction." Topics in Cognitive Science, 5 (3): 522-540. 2013.

Peer-Reviewed Proceedings

Fangcong Yin and Marten van Schijndel. "Linguistic Compression in Single-Sentence Human-Written Summaries" In Findings of the Association for Computational Linguistics: EMNLP. 2023.
Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, and Rajakrishnan Rajkumar. "Discourse Context Predictability Effects in Hindi Word Order" In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. (22% accept)
Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal, and Rajakrishnan Rajkumar. "Dual Mechanism Priming Effects in Hindi Word Order" In Proceedings of the Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL). 2022.
William Timkey and Marten van Schijndel. "All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality" In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021. (9% oral)
Forrest Davis and Marten van Schijndel. "Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning" In Proceedings of the 2021 Annual Conference of the Association for Computational Linguistics (ACL). 2021. (21% accept)
Matt Wilber, William Timkey, and Marten van Schijndel. "To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text" In Proceedings of the 2021 Findings of the ACL. 2021.
Samuel Ryb and Marten van Schijndel. "Analytical, Symbolic and First-Order Reasoning within Neural Architectures" In Proceedings of the 2021 Workshop on Computing Semantics with Types, Frames and Related Structures. 2021.
Forrest Davis and Marten van Schijndel. "Discourse structure interacts with reference but not syntax in neural language models" In 24th Conference on Computational Natural Language Learning (CoNLL). 2020. (23% accept)
Debasmita Bhattacharya and Marten van Schijndel. "Filler-gaps that neural networks fail to generalize" In 24th Conference on Computational Natural Language Learning (CoNLL). 2020. (23% accept)
Forrest Davis and Marten van Schijndel. "Interaction with context during recurrent neural network sentence processing" In Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci). 2020. (23% accept)
Forrest Davis and Marten van Schijndel. "Recurrent neural network language models always learn English-like relative clause attachment" In Proceedings of the 2020 Annual Conference of the Association for Computational Linguistics (ACL). 2020. (23% accept)
Marten van Schijndel, Aaron Mueller, and Tal Linzen. "Quantity doesn't buy quality syntax with neural language models" In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019. (24% accept)
Grusha Prasad, Marten van Schijndel, and Tal Linzen. "Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models" In Proceedings of the 2019 Conference on Computational Natural Language Learning (CoNLL). 2019. (2% oral)
Marten van Schijndel and Tal Linzen. "Can Entropy Explain Successor Surprisal Effects in Reading?" In Proceedings of the Society for Computation in Linguistics (SCiL). 2019. (23% oral)
Marten van Schijndel and Tal Linzen. "A Neural Model of Adaptation in Reading." In 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). 2018. (10% oral)
Marten van Schijndel and Tal Linzen. "Modeling garden path effects without explicit hierarchical syntax." In Proceedings of the 40th Annual Meeting of the Cognitive Science Society (CogSci 2018). 2018.
Cory Shain, Marten van Schijndel and William Schuler. "Deep syntactic annotations for broad-coverage psycholinguistic modeling." In Proceedings of the Workshop on Linguistic and Neuro-Cognitive Resources (LiNCR 2018). 2018.
Marten van Schijndel and William Schuler. "Approximations of Predictive Entropy Correlate with Reading Times." In Proceedings of the 39th Annual Meeting of the Cognitive Science Society (CogSci 2017). 2017.
Marten van Schijndel and William Schuler. "Addressing surprisal deficiencies in reading time models." In Proceedings of the Computational Linguistics for Linguistic Complexity Workshop (CL4LC 2016). 2016. (24% oral)
Cory Shain, Marten van Schijndel, Richard Futrell, Edward Gibson, and William Schuler. "Memory access during sentence processing causes reading time latency." In Proceedings of the Computational Linguistics for Linguistic Complexity Workshop (CL4LC 2016). 2016. (24% oral)
Marten van Schijndel and William Schuler. "Hierarchic syntax improves reading time prediction." In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics -- Human Language Technologies (NAACL 2015). 2015. (13% oral)
Marten van Schijndel, Brian Murphy, and William Schuler. "Evidence of syntactic working memory usage in MEG data." In Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2015). 2015.
Evan Jaffe, Lifeng Jin, David King, and Marten van Schijndel. "Azmat: Sentence similarity using associative matrices." In Proceedings of the International Workshop on Semantic Evaluation (SemEval 2015). 2015.
Marten van Schijndel and Micha Elsner. "Bootstrapping into filler-gap: An acquisition story." In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014). 2014. (13% oral)
Marten van Schijndel, William Schuler, and Peter Culicover. "Frequency Effects in the Processing of Unbounded Dependencies." In Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014). 2014.
Marten van Schijndel and William Schuler. "An Analysis of Frequency- and Memory-Based Processing Costs." In Proceedings of 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2013). 2013. (20% oral)
Marten van Schijndel, Luan Nguyen, and William Schuler. "An Analysis of Memory-based Processing Costs using Incremental Deep Syntactic Dependency Parsing." In Proceedings of the 4th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2013). 2013.
Luan Nguyen, Marten van Schijndel, and William Schuler. "Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars." In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012). 2012. (16% oral)    Received 'Best Paper' at COLING'12.
Marten van Schijndel, Andy Exley, and William Schuler. "Connectionist-Inspired Incremental PCFG Parsing." In Proceedings of the 3rd Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2012). 2012.

Peer-Reviewed Abstracts

Kihyo Park and Marten van Schijndel. "Animacy drives reanalysis in Korean double nominatives" In The Annual Meeting of the Linguistic Society of America (LSA 2024). 2024.

Kaelyn Lamp and Marten van Schijndel. "The Linguistic Expression of Hate Speech: A Corpus Analysis of Causal Constructions in Hate Speech" In The Annual Meeting of the Linguistic Society of America (LSA 2024). 2024.

Jacob A. Matthews, Imane Terhmina, Laurent Dubreuil, Marten van Schijndel. "An embarrassingly simple method for attributed network embedding" In New Directions for Analyzing Text as Data (TADA 2023). 2023.

John Starr and Marten van Schijndel. "Discourse Context Modulates Phonotactic Processing" In Annual Meeting of Phonology (AMP 2023). 2023.

John Starr, Helena Aparicio, and Marten van Schijndel. "The relationship between phonological viability and syntactic complexity" In Proceedings of the 30th Manchester Phonology Meeting (MFM 2023). 2023.

Debasmita Bhattacharya and Marten van Schijndel. "Code-switching in online posts can be modeled as a dual path cognitive process" In Proceedings of the 36th Annual Conference on Human Sentence Processing (HSP 2023). 2023.

Debasmita Bhattacharya and Marten van Schijndel. "Code-switching in online posts reveals information-theoretic audience design" In Proceedings of the 36th Annual Conference on Human Sentence Processing (HSP 2023). 2023.

Jacob Matthews and Marten van Schijndel. "Grokking Wug Vectors" In Proceedings of the 36th Annual Conference on Human Sentence Processing (HSP 2023). 2023.

John Starr, Helena Aparicio, Draga Zec, and Marten van Schijndel. "Salient phonological information modulates the effect of semantic priming in prediction" In Proceedings of the 36th Annual Conference on Human Sentence Processing (HSP 2023). 2023.

John Starr, Marten van Schijndel, Helena Aparicio, and Draga Zec. "Phonological structure influences incremental syntactic processing" In Proceedings of the 36th Annual Conference on Human Sentence Processing (HSP 2023). 2023.

John Starr and Marten van Schijndel. "Semantics reels us in: a first look at mind rhymes" In Proceedings of the 35th Annual Conference on Human Sentence Processing (HSP 2022). 2022.

Forrest Davis and Marten van Schijndel. "Recurrent neural networks use discourse context in human-like garden path alleviation" In Proceedings of the 33rd Annual CUNY Conference on Human Sentence Processing (CUNY 2020). 2020.
Cory Shain, Idan Blank, Marten van Schijndel, William Schuler, and Evelina Fedorenko. "fMRI reveals language-specific predictive coding during naturalistic sentence comprehension." In Proceedings of the CUNY Sentence Processing Conference. 2019.

Grusha Prasad, Marten van Schijndel, and Tal Linzen. "Using syntactic priming to investigate how recurrent neural networks represent syntax." In Proceedings of the CUNY Sentence Processing Conference. 2019.

Marten van Schijndel and Tal Linzen. "A Neural Network Model of Adaptation in Reading." In AMLaP 2018. 2018
Marten van Schijndel and Tal Linzen. "Can Entropy Explain Successor Effects in Reading?" In AMLaP 2018. 2018
Cory Shain, Richard Futrell, Marten van Schijndel, Edward Gibson, William Schuler, and Evelina Fedorenko. "Evidence of semantic processing difficulty in naturalistic reading." In Proceedings of the CUNY Sentence Processing Conference. 2018.
Cory Shain, Marten van Schijndel, Richard Futrell, Edward Gibson, and William Schuler. "Retrieving structures from memory causes difficulty during incremental processing." In Proceedings of the CUNY Sentence Processing Conference. 2017. (10% oral)
Marten van Schijndel and Kathleen C. Fraser. "Screening for Alzheimer's with psycholinguistics." In Proceedings of the CUNY Sentence Processing Conference. 2016.
Marten van Schijndel and William Schuler. "Alpha power decreases during center embedding in natural stimuli." In Proceedings of the CUNY Sentence Processing Conference. 2016.
Kathleen C. Fraser, Marten van Schijndel, Naida Graham, Elizabeth Rochon, and Sandra Black. "Can measures of processing complexity predict progressive aphasia from speech?" In Proceedings of the CUNY Sentence Processing Conference. 2016.
Cory Shain, Marten van Schijndel, Edward Gibson, and William Schuler. "Exploring memory and processing through a gold standard annotation of Dundee." In Proceedings of the CUNY Sentence Processing Conference. 2016.
Marten van Schijndel and William Schuler. "Hierarchic syntax improves reading time prediction." In Proceedings of the CUNY Sentence Processing Conference. 2015.
William Schuler and Marten van Schijndel. "Effects of integration in eye tracking." In Proceedings of the CUNY Sentence Processing Conference. 2014.
Marten van Schijndel and Micha Elsner. "Bootstrapping into Filler-Gap: An Acquisition Story." In Proceedings of the CUNY Sentence Processing Conference. 2014.