William Schuler

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Evaluation of an Algorithmic-Level Left-Corner Parsing Account of Surprisal Effects.

[BibT_eX]

[DOI]

Shisen Yue

Cogn. Sci., October, 2024

The Impact of Token Granularity on the Predictive Power of Language Model Surprisal.

[BibT_eX]

[DOI]

CoRR, 2024

Leading Whitespaces of Language Models' Subword Vocabulary Poses a Confound for Calculating Word Probabilities.

[BibT_eX]

[DOI]

CoRR, 2024

Leading Whitespaces of Language Models' Subword Vocabulary Pose a Confound for Calculating Word Probabilities.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times.

[BibT_eX]

[DOI]

Shisen Yue

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Categorial Grammar Induction with Stochastic Category Selection.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2023

Transformer-Based LM Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens.

[BibT_eX]

[DOI]

CoRR, 2023

Bootstrapping a Conversational Guide for Colonoscopy Prep.

[BibT_eX]

[DOI]

Pulkit Arya

Madeleine Bloomquist

Subhankar Chakraborty

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Transformer-Based Language Model Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Categorial grammar induction from raw data.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Comparison of Structural Parsers and Neural Language Models as Surprisal Estimators.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2022

A Deep Learning Approach to Analyzing Continuous-Time Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition.

[BibT_eX]

[DOI]

Comput. Linguistics, 2021

Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Coreference-aware Surprisal Predicts Brain Response.

[BibT_eX]

[DOI]

Evan Jaffe

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Surprisal Estimators for Human Reading Times Need Character Models.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contributions of Propositional Content and Syntactic Category Information in Sentence Processing.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021

2020

A Corpus of Encyclopedia Articles with Logical Forms.

[BibT_eX]

[DOI]

Nathan Rasmussen

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

The Importance of Category Labels in Grammar Induction with Child-directed Utterances.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

Memory-bounded Neural Incremental Parsing for Psycholinguistic Prediction.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 2020

Grounded PCFG Induction with Images.

[BibT_eX]

[DOI]

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Coreference information guides human expectations during natural reading.

[BibT_eX]

[DOI]

Evan Jaffe

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Variance of Average Surprisal: A Better Predictor for Quality of Grammar from Unsupervised PCFG Induction.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Unsupervised Learning of PCFGs with Normalizing Flow.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Unsupervised Grammar Induction with Depth-bounded PCFG.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2018

Test Sets for Chinese Nonlocal Dependency Parsing.

[BibT_eX]

[DOI]

Manjuan Duan

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Deconvolutional time series regression: A technique for modeling temporally diffuse effects.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG Induction.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Coreference and Focus in Reading Times.

[BibT_eX]

[DOI]

Evan Jaffe

Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics, 2018

2017

Approximations of Predictive Entropy Correlate with Reading Times.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

OCLSP at SemEval-2016 Task 9: Multilayered LSTM as a Neural Semantic Dependency Parser.

[BibT_eX]

[DOI]

Manjuan Duan

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

OSU_CHGCG at SemEval-2016 Task 9 : Chinese Semantic Dependency Parsing with Generalized Categorial Grammar.

[BibT_eX]

[DOI]

Manjuan Duan

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input.

[BibT_eX]

[DOI]

Proceedings of the COLING 2016, 2016

Memory access during incremental sentence processing causes reading time latency.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity, 2016

Addressing surprisal deficiencies in reading time models.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity, 2016

2015

Hierarchic syntax improves reading time prediction.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A Comparison of Word Similarity Performance Using Explanatory and Non-explanatory Texts.

[BibT_eX]

[DOI]

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System.

[BibT_eX]

[DOI]

Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015

Evidence of syntactic working memory usage in MEG data.

[BibT_eX]

[DOI]

Brian Murphy

Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics, 2015

2014

Cognitive Compositional Semantics using Continuation Dependencies.

[BibT_eX]

[DOI]

Adam Wheeler

Proceedings of the Third Joint Conference on Lexical and Computational Semantics, 2014

Frequency effects in the processing of unbounded dependencies.

[BibT_eX]

[DOI]

Peter W. Culicover

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Sentence Processing in a Vectorial Model of Working Memory.

[BibT_eX]

[DOI]

Proceedings of the Fifth Workshop on Cognitive Modeling and Computational Linguistics, 2014

2013

A Model of Language Processing as Hierarchic Sequential Prediction.

[BibT_eX]

[DOI]

Andrew Exley

Top. Cogn. Sci., 2013

An Analysis of Frequency- and Memory-Based Processing Costs.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

An Analysis of Memory-based Processing Costs using Incremental Deep Syntactic Dependency Parsing.

[BibT_eX]

[DOI]

Luan Nguyen

Proceedings of the Fourth Annual Workshop on Cognitive Modeling and Computational Linguistics, 2013

2012

Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars.

[BibT_eX]

[DOI]

Luan Nguyen

Proceedings of the COLING 2012, 2012

Connectionist-Inspired Incremental PCFG Parsing.

[BibT_eX]

[DOI]

Andrew Exley

Proceedings of the 3rd Workshop on Cognitive Modeling and Computational Linguistics, 2012

2011

Tree-Rewriting Models of Multi-Word Expressions.

[BibT_eX]

[DOI]

Aravind K. Joshi

Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World, 2011

Structured Composition of Semantic Vectors.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Computational Semantics, 2011

Effects of Filler-gap Dependencies Working Memory Requirements for Parsing.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Incremental Syntactic Language Models for Phrase-based Translation.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models.

[BibT_eX]

[DOI]

Dingcheng Li

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Broad-Coverage Parsing Using Human-Like Memory Constraints.

[BibT_eX]

[DOI]

Comput. Linguistics, 2010

Incremental Parsing in Bounded Memory.

[BibT_eX]

[DOI]

Proceedings of the 10th International Workshop on Tree Adjoining Grammar and Related Frameworks, 2010

Complexity Metrics in an Incremental Right-Corner Parser.

[BibT_eX]

[DOI]

Proceedings of the ACL 2010, 2010

HHMM Parsing with Limited Parallelism.

[BibT_eX]

[DOI]

Proceedings of the 2010 Workshop on Cognitive Modeling and Computational Linguistics, 2010

2009

A Framework for Fast Incremental Interpretation during Speech Decoding.

[BibT_eX]

[DOI]

Lane Schwartz

Comput. Linguistics, 2009

Positive Results for Parsing with a Bounded Stack using a Model-Based Right-Corner Transform.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Positive effects of redundant descriptions in an interactive semantic speech interface.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

Parsing Speech Repair without Specialized Grammar Symbols.

[BibT_eX]

[DOI]

Luan Nguyen

Proceedings of the ACL 2009, 2009

2008

Exploiting referential context in spoken language interfaces for data-poor domains.

[BibT_eX]

[DOI]

Lane Schwartz

Proceedings of the 13th International Conference on Intelligent User Interfaces, 2008

Referential semantic language modeling for data-poor domains.

[BibT_eX]

[DOI]

Lane Schwartz

Proceedings of the IEEE International Conference on Acoustics, 2008

Toward a Psycholinguistically-Motivated Model of Language Processing.

[BibT_eX]

[DOI]

Proceedings of the COLING 2008, 2008

A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech.

[BibT_eX]

[DOI]

Proceedings of the COLING 2008, 2008

A Unified Syntactic Model for Parsing Fluent and Disfluent Speech.

[BibT_eX]

[DOI]

Proceedings of the ACL 2008, 2008

2007

Elements of a spoken language programming interface for robots.

[BibT_eX]

[DOI]

Andrew Exley

Proceedings of the Second ACM SIGCHI/SIGART Conference on Human-Robot Interaction, 2007

2006

Dynamic evidence models in a DBN phone recognizer.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

2005

Integrating denotational meaning into a DBN language model.

[BibT_eX]

[DOI]

Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Exploiting a sensed environment to improve human-agent communication.

[BibT_eX]

[DOI]

Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

Using Volunteers to Annotate Biomedical Corpora for Anaphora Resolution.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Collection from Volunteer Contributors, 2005

2003

Using Model-Theoretic Semantic Interpretation to Guide Statistical Parsing and Word Recognition in a Spoken Language Interface.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 2003

2002

Interleaved Semantic Interpretation in Environment-based Parsing.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Computational Linguistics, 2002

ACUMEN: amplifying control and understanding of multiple entities.

[BibT_eX]

[DOI]

Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

2001

Computational Properties of Environment-based Disambiguation.

[BibT_eX]

[DOI]

Proceedings of the Association for Computational Linguistic, 2001

2000

Building a class-based verb lexicon using TAGs.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Workshop on Tree Adjoining Grammar and Related Frameworks, 2000

Some remarks on an extension of synchronous TAG.

[BibT_eX]

[DOI]

David Chiang

Mark Dras

Proceedings of the Fifth International Workshop on Tree Adjoining Grammar and Related Frameworks, 2000

A Machine Translation System from English to American Sign Language.

[BibT_eX]

[DOI]

Proceedings of the Envisioning Machine Translation in the Information Future, 2000

Dynamically altering agent behaviors using natural language instructions.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Autonomous Agents, 2000

Multi-Component TAG and Notions of Formal Power.

[BibT_eX]

[DOI]

David Chiang

Mark Dras

Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, 2000

1999

Preserving Semantic Dependencies in Synchronous Tree Adjoining Grammar.

[BibT_eX]

[DOI]

Proceedings of the 27th Annual Meeting of the Association for Computational Linguistics, 1999

1998

Exploiting semantic dependencies in parsing.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Workshop on Tree Adjoining Grammars and Related Frameworks, 1998

Restrictions on Tree Adjoining Languages.

[BibT_eX]

[DOI]

Giorgio Satta