William Schuler

106 papers A* 12A 6B 13Misc 2Journal 27Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Surprisal from Larger Transformer-based Language Models Predicts fMRI Data More Poorly. EACL (Volume 2: Short Papers) Yi-Chien Lin, William Schuler
2025	—	`conf`	How Well Does First-Token Entropy Approximate Word Entropy as a Psycholinguistic Predictor? IJCNLP-AACL (Short Papers) Christian Clark, Byung-Doh Oh, William Schuler
2025	J	`jnl`	How Well Does First-Token Entropy Approximate Word Entropy as a Psycholinguistic Predictor? CoRR Christian Clark, Byung-Doh Oh, William Schuler
2025	B	`conf`	Linear Recency Bias During Training Improves Transformers' Fit to Reading Times. COLING Christian Clark, Byung-Doh Oh, William Schuler
2025	J	`jnl`	Surprisal from Larger Transformer-based Language Models Predicts fMRI Data More Poorly. CoRR Yi-Chien Lin, William Schuler
2025	—	`conf`	The Impact of Token Granularity on the Predictive Power of Language Model Surprisal. ACL (1) Byung-Doh Oh, William Schuler
2025	—	`conf`	The Inverse Scaling Effect of Pre-Trained Language Model Surprisal Is Not Due to Data Leakage. ACL (Findings) Byung-Doh Oh, Hongao Zhu, William Schuler
2025	J	`jnl`	The Inverse Scaling Effect of Pre-Trained Language Model Surprisal Is Not Due to Data Leakage. CoRR Byung-Doh Oh, Hongao Zhu, William Schuler
2025	J	`jnl`	Vectors from Larger Language Models Predict Human Reading Time and fMRI Data More Poorly when Dimensionality Expansion is Controlled. CoRR Yi-Chien Lin, Hongao Zhu, William Schuler
2024	—	`conf`	Categorial Grammar Induction with Stochastic Category Selection. LREC/COLING Christian Clark, William Schuler
2024	J	`jnl`	Evaluation of an Algorithmic-Level Left-Corner Parsing Account of Surprisal Effects. Cogn. Sci. William Schuler, Shisen Yue
2024	—	`conf`	Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times. EACL (1) Byung-Doh Oh, Shisen Yue, William Schuler
2024	J	`jnl`	Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times. CoRR Byung-Doh Oh, Shisen Yue, William Schuler
2024	A*	`conf`	Leading Whitespaces of Language Models' Subword Vocabulary Pose a Confound for Calculating Word Probabilities. EMNLP Byung-Doh Oh, William Schuler
2024	J	`jnl`	Leading Whitespaces of Language Models' Subword Vocabulary Poses a Confound for Calculating Word Probabilities. CoRR Byung-Doh Oh, William Schuler
2024	J	`jnl`	Linear Recency Bias During Training Improves Transformers' Fit to Reading Times. CoRR Christian Clark, Byung-Doh Oh, William Schuler
2024	J	`jnl`	The Impact of Token Granularity on the Predictive Power of Language Model Surprisal. CoRR Byung-Doh Oh, William Schuler
2023	B	`conf`	Bootstrapping a Conversational Guide for Colonoscopy Prep. SIGDIAL Pulkit Arya, Madeleine Bloomquist, Subhankar Chakraborty, Andrew Perrault, William Schuler, Eric Fosler-Lussier, Michael White
2023	—	`conf`	Categorial grammar induction from raw data. ACL (Findings) Christian Clark, William Schuler
2023	—	`conf`	Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions. ACL (1) Byung-Doh Oh, William Schuler
2023	J	`jnl`	Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions. CoRR Byung-Doh Oh, William Schuler
2023	J	`jnl`	Transformer-Based LM Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens. CoRR Byung-Doh Oh, William Schuler
2023	—	`conf`	Transformer-Based Language Model Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens. EMNLP (Findings) Byung-Doh Oh, William Schuler
2023	J	`jnl`	Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times? Trans. Assoc. Comput. Linguistics Byung-Doh Oh, William Schuler
2022	J	`jnl`	A Deep Learning Approach to Analyzing Continuous-Time Systems. CoRR Cory Shain, William Schuler
2022	J	`jnl`	Comparison of Structural Parsers and Neural Language Models as Surprisal Estimators. Frontiers Artif. Intell. Byung-Doh Oh, Christian Clark, William Schuler
2022	A*	`conf`	Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal. EMNLP Byung-Doh Oh, William Schuler
2022	J	`jnl`	Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal. CoRR Byung-Doh Oh, William Schuler
2022	J	`jnl`	Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times? CoRR Byung-Doh Oh, William Schuler
2021	—	`conf`	Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages. EMNLP (Findings) Lifeng Jin, Byung-Doh Oh, William Schuler
2021	—	`conf`	Contributions of Propositional Content and Syntactic Category Information in Sentence Processing. CMLS Byung-Doh Oh, William Schuler
2021	—	`conf`	Coreference-aware Surprisal Predicts Brain Response. EMNLP (Findings) Evan Jaffe, Byung-Doh Oh, William Schuler
2021	J	`jnl`	Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition. Comput. Linguistics Lifeng Jin, Lane Schwartz, Finale Doshi-Velez, Timothy Miller, William Schuler
2021	—	`conf`	Surprisal Estimators for Human Reading Times Need Character Models. ACL/IJCNLP (1) Byung-Doh Oh, Christian Clark, William Schuler
2020	B	`conf`	A Corpus of Encyclopedia Articles with Logical Forms. LREC Nathan Rasmussen, William Schuler
2020	B	`conf`	Coreference information guides human expectations during natural reading. COLING Evan Jaffe, Cory Shain, William Schuler
2020	—	`conf`	Grounded PCFG Induction with Images. AACL/IJCNLP Lifeng Jin, William Schuler
2020	—	`conf`	Memory-bounded Neural Incremental Parsing for Psycholinguistic Prediction. IWPT 2020 Lifeng Jin, William Schuler
2020	—	`conf`	The Importance of Category Labels in Grammar Induction with Child-directed Utterances. IWPT 2020 Lifeng Jin, William Schuler
2020	J	`jnl`	The Importance of Category Labels in Grammar Induction with Child-directed Utterances. CoRR Lifeng Jin, William Schuler
2019	—	`conf`	Unsupervised Learning of PCFGs with Normalizing Flow. ACL (1) Lifeng Jin, Finale Doshi-Velez, Timothy Miller, Lane Schwartz, William Schuler
2019	—	`conf`	Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction. ACL (1) Lifeng Jin, William Schuler
2018	—	`conf`	Coreference and Focus in Reading Times. CMCL Evan Jaffe, Cory Shain, William Schuler
2018	A*	`conf`	Deconvolutional time series regression: A technique for modeling temporally diffuse effects. EMNLP Cory Shain, William Schuler
2018	A*	`conf`	Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG Induction. EMNLP Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz
2018	J	`jnl`	Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction. CoRR Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz
2018	B	`conf`	Test Sets for Chinese Nonlocal Dependency Parsing. LREC Manjuan Duan, William Schuler
2018	J	`jnl`	Unsupervised Grammar Induction with Depth-bounded PCFG. CoRR Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz
2018	J	`jnl`	Unsupervised Grammar Induction with Depth-bounded PCFG. Trans. Assoc. Comput. Linguistics Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz
2017	B	`conf`	Approximations of Predictive Entropy Correlate with Reading Times. CogSci Marten van Schijndel, William Schuler
2017	—	`ed.`	Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics, CMCL@EACL 2017, Valencia, Spain, April 3, 2017 CMCL@EACL Ted Gibson, Tal Linzen, Asad B. Sayeed, Marten van Schijndel, William Schuler
2016	—	`conf`	Addressing surprisal deficiencies in reading time models. CL4LC@COLING 2016 Marten van Schijndel, William Schuler
2016	—	`conf`	Memory access during incremental sentence processing causes reading time latency. CL4LC@COLING 2016 Cory Shain, Marten van Schijndel, Richard Futrell, Edward Gibson, William Schuler
2016	B	`conf`	Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input. COLING Cory Shain, William Bryce, Lifeng Jin, Victoria Krakovna, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz
2016	—	`conf`	OCLSP at SemEval-2016 Task 9: Multilayered LSTM as a Neural Semantic Dependency Parser. SemEval@NAACL-HLT Lifeng Jin, Manjuan Duan, William Schuler
2016	—	`conf`	OSU_CHGCG at SemEval-2016 Task 9 : Chinese Semantic Dependency Parsing with Generalized Categorial Grammar. SemEval@NAACL-HLT Manjuan Duan, Lifeng Jin, William Schuler
2015	—	`conf`	A Comparison of Word Similarity Performance Using Explanatory and Non-explanatory Texts. HLT-NAACL Lifeng Jin, William Schuler
2015	—	`conf`	Evidence of syntactic working memory usage in MEG data. CMCL@NAACL-HLT Marten van Schijndel, Brian Murphy, William Schuler
2015	—	`conf`	Hierarchic syntax improves reading time prediction. HLT-NAACL Marten van Schijndel, William Schuler
2015	—	`conf`	Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System. BEA@NAACL-HLT Evan Jaffe, Michael White, William Schuler, Eric Fosler-Lussier, Alex Rosenfeld, Douglas Danforth
2014	—	`conf`	Cognitive Compositional Semantics using Continuation Dependencies. *SEM@COLING William Schuler, Adam Wheeler
2014	B	`conf`	Frequency effects in the processing of unbounded dependencies. CogSci Marten van Schijndel, William Schuler, Peter W. Culicover
2014	—	`conf`	Sentence Processing in a Vectorial Model of Working Memory. CMCL@ACL William Schuler
2013	J	`jnl`	A Model of Language Processing as Hierarchic Sequential Prediction. Top. Cogn. Sci. Marten van Schijndel, Andrew Exley, William Schuler
2013	—	`conf`	An Analysis of Frequency- and Memory-Based Processing Costs. HLT-NAACL Marten van Schijndel, William Schuler
2013	—	`conf`	An Analysis of Memory-based Processing Costs using Incremental Deep Syntactic Dependency Parsing. CMCL Marten van Schijndel, Luan Nguyen, William Schuler
2012	B	`conf`	Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars. COLING Luan Nguyen, Marten van Schijndel, William Schuler
2012	—	`conf`	Connectionist-Inspired Incremental PCFG Parsing. CMCL@NAACL-HLT Marten van Schijndel, Andrew Exley, William Schuler
2011	A*	`conf`	A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models. ACL Dingcheng Li, Tim Miller, William Schuler
2011	B	`conf`	Effects of Filler-gap Dependencies Working Memory Requirements for Parsing. CogSci William Schuler
2011	A*	`conf`	Incremental Syntactic Language Models for Phrase-based Translation. ACL Lane Schwartz, Chris Callison-Burch, William Schuler, Stephen T. Wu
2011	—	`conf`	Structured Composition of Semantic Vectors. IWCS Stephen T. Wu, William Schuler
2011	—	`conf`	Tree-Rewriting Models of Multi-Word Expressions. MWE@ACL William Schuler, Aravind K. Joshi
2010	J	`jnl`	Broad-Coverage Parsing Using Human-Like Memory Constraints. Comput. Linguistics William Schuler, Samir AbdelRahman, Tim Miller, Lane Schwartz
2010	A*	`conf`	Complexity Metrics in an Incremental Right-Corner Parser. ACL Stephen T. Wu, Asaf Bachrach, Carlos Cardenas, William Schuler
2010	—	`conf`	HHMM Parsing with Limited Parallelism. CMCL@ACL Tim Miller, William Schuler
2010	—	`conf`	Incremental Parsing in Bounded Memory. TAG William Schuler
2009	J	`jnl`	A Framework for Fast Incremental Interpretation during Speech Decoding. Comput. Linguistics William Schuler, Stephen T. Wu, Lane Schwartz
2009	—	`conf`	Parsing Speech Repair without Specialized Grammar Symbols. ACL/IJCNLP (2) Tim Miller, Luan Nguyen, William Schuler
2009	—	`conf`	Positive Results for Parsing with a Bounded Stack using a Model-Based Right-Corner Transform. HLT-NAACL William Schuler
2009	A	`conf`	Positive effects of redundant descriptions in an interactive semantic speech interface. IUI Lane Schwartz, Luan Nguyen, Andrew Exley, William Schuler
2008	B	`conf`	A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech. COLING Tim Miller, William Schuler
2008	—	`conf`	A Unified Syntactic Model for Parsing Fluent and Disfluent Speech. ACL (2) Tim Miller, William Schuler
2008	A	`conf`	Exploiting referential context in spoken language interfaces for data-poor domains. IUI Stephen T. Wu, Lane Schwartz, William Schuler
2008	Misc	`conf`	Referential semantic language modeling for data-poor domains. ICASSP Stephen T. Wu, Lane Schwartz, William Schuler
2008	B	`conf`	Toward a Psycholinguistically-Motivated Model of Language Processing. COLING William Schuler, Samir AbdelRahman, Tim Miller, Lane Schwartz
2007	A*	`conf`	Elements of a spoken language programming interface for robots. HRI Tim Miller, Andrew Exley, William Schuler
2006	A	`conf`	Dynamic evidence models in a DBN phone recognizer. INTERSPEECH William Schuler, Tim Miller, Stephen T. Wu, Andrew Exley
2005	A	`conf`	Exploiting a sensed environment to improve human-agent communication. AAMAS Shana Watters, Tim Miller, Praveen Balachandran, William Schuler, Richard M. Voyles
2005	A	`conf`	Integrating denotational meaning into a DBN language model. INTERSPEECH William Schuler, Tim Miller
2005	—	`conf`	Using Volunteers to Annotate Biomedical Corpora for Anaphora Resolution. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors Shana Watters, Brian McInnes, David McKoskey, Tim Miller, Daniel Boley, Maria L. Gini, William Schuler, A. Polukeyeva, Jeanette K. Gundel, Sergey V. Pakhomov, Guergana Savova
2003	A*	`conf`	Using Model-Theoretic Semantic Interpretation to Guide Statistical Parsing and Word Recognition in a Spoken Language Interface. ACL William Schuler
2002	A	`conf`	ACUMEN: amplifying control and understanding of multiple entities. AAMAS Jan M. Allbeck, Karin Kipper, Charles Adams, William Schuler, Elena Zoubanova, Norman I. Badler, Martha Stone Palmer, Aravind K. Joshi
2002	B	`conf`	Interleaved Semantic Interpretation in Environment-based Parsing. COLING William Schuler
2002	J	`jnl`	Interleaved semantic interpretation in environment-based parsing CoRR William Schuler
2001	A*	`conf`	Computational Properties of Environment-based Disambiguation. ACL William Schuler
2001	J	`jnl`	Computational properties of environment-based disambiguation CoRR William Schuler
2000	Misc	`conf`	A Machine Translation System from English to American Sign Language. AMTA Liwei Zhao, Karin Kipper, William Schuler, Christian Vogler, Norman I. Badler, Martha Stone Palmer
2000	—	`conf`	Building a class-based verb lexicon using TAGs. TAG+ Karin Kipper, Hoa Trang Dang, William Schuler, Martha Palmer
2000	—	`conf`	Dynamically altering agent behaviors using natural language instructions. Agents Rama Bindiganavale, William Schuler, Jan M. Allbeck, Norman I. Badler, Aravind K. Joshi, Martha Stone Palmer
2000	A*	`conf`	Multi-Component TAG and Notions of Formal Power. ACL William Schuler, David Chiang, Mark Dras
2000	—	`conf`	Some remarks on an extension of synchronous TAG. TAG+ David Chiang, William Schuler, Mark Dras
1999	A*	`conf`	Preserving Semantic Dependencies in Synchronous Tree Adjoining Grammar. ACL William Schuler
1998	—	`conf`	Exploiting semantic dependencies in parsing. TAG+ William Schuler
1998	J	`jnl`	Restrictions on Tree Adjoining Languages CoRR Giorgio Satta, William Schuler
1998	—	`conf`	Restrictions on Tree Adjoining Languages. COLING-ACL Giorgio Satta, William Schuler