William Schuler

发表

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

Evan Jaffe, Michael White, William Schuler, 2015, BEA@NAACL-HLT.

Capturing motion verb generalizations in synchronous tree adjoining grammars

Martha Palmer, William Schuler, Joseph Rosenzweig, 1996, AMTA.

Effects of Filler-gap Dependencies Working Memory Requirements for Parsing

William Schuler, William Schuler, 2011, CogSci.

Frequency effects in the processing of unbounded dependencies

William Schuler, Peter W. Culicover, Marten Van Schijndel, 2014, CogSci.

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

Lane Schwartz, Finale Doshi-Velez, William Schuler, 2016, COLING.

Grounded PCFG Induction with Images

William Schuler, Lifeng Jin, William Schuler, 2020, AACL.

An Analysis of Frequency- and Memory-Based Processing Costs

William Schuler, Marten Van Schijndel, Marten van Schijndel, 2013, NAACL.

Generative models of disfluency

William Schuler, Timothy A. Miller, 2010 .

Exploiting a sensed environment to improve human-agent communication

William Schuler, Richard M. Voyles, Timothy A. Miller, 2005, AAMAS '05.

Using Volunteers to Annotate Biomedical Corpora for Anaphora Resolution

Maria L. Gini, Daniel Boley, Serguei V. S. Pakhomov, 2005, AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors.

Parsing Chinese with a Generalized Categorial Grammar

William Schuler, Manjuan Duan, 2015 .

A Unified Syntactic Model for Parsing Fluent and Disfluent Speech

William Schuler, Timothy A. Miller, 2008, ACL.

Exploiting semantic dependencies in parsing

William Schuler, 1998, TAG+.

Dynamically altering agent behaviors using natural language instructions

Norman I. Badler, Aravind K. Joshi, Martha Palmer, 2000, AGENTS '00.

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

William Schuler, Luan Nguyen, Marten Van Schijndel, 2013, CMCL.

Tree-Rewriting Models of Multi-Word Expressions

Aravind K. Joshi, William Schuler, 2011, MWE@ACL.

Sentence Processing in a Vectorial Model of Working Memory

William Schuler, William Schuler, 2014, CMCL@ACL.

A multi-level TAG approach to dependency

William Schuler, David Chiang, Mark Dras, 2000 .

Implications of a Structured Vecto- rial Semantic Framework for Incre- mental Interpretation

William Schuler, Stephen Wu, Andrew Exley, 2010 .

Addressing surprisal deficiencies in reading time models

William Schuler, Marten Van Schijndel, Marten van Schijndel, 2016, CL4LC@COLING 2016.

Toward a Psycholinguistically-Motivated Model of Language Processing

Lane Schwartz, William Schuler, Timothy A. Miller, 2008, COLING.

Incremental Semantic Dependency Parsing

William Schuler, Marten van Schijndel, William Schuler, 2013 .

Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars

William Schuler, Luan Nguyen, Marten Van Schijndel, 2012, COLING.

On Relations of Constituency and Dependency Grammars

William Schuler, David Chiang, Mark Dras, 2004 .

Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction pdf

Lane Schwartz, Finale Doshi-Velez, William Schuler, 2018, EMNLP.

fMRI reveals language-specific predictive coding during naturalistic sentence comprehension

William Schuler, Evelina Fedorenko, Cory Shain, 2019, Neuropsychologia.

Positive effects of redundant descriptions in an interactive semantic speech interface

Lane Schwartz, William Schuler, Luan Nguyen, 2009, IUI.

Complexity Metrics in an Incremental Right-Corner Parser

Stephen T. Wu, William Schuler, Asaf Bachrach, 2010, ACL.

Memory access during incremental sentence processing causes reading time latency

William Schuler, Richard Futrell, Edward Gibson, 2016, CL4LC@COLING 2016.

Referential semantic language modeling for data-poor domains

Stephen T. Wu, Lane Schwartz, William Schuler, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

Stephen T. Wu, Lane Schwartz, William Schuler, 2008, IUI '08.

Coreference information guides human expectations during natural reading

Evan Jaffe, William Schuler, Cory Shain, 2020, COLING.

An incremental syntactic language model for statistical phrase-based machine translation

Lane Schwartz, William Schuler, William Schuler, 2012 .

Interleaved Semantic Interpretation in Environment-based Parsing

William Schuler, 2002, COLING.

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

William Schuler, Lifeng Jin, Manjuan Duan, 2016, SemEval@NAACL-HLT.

HHMM Parsing with Limited Parallelism

William Schuler, Timothy A. Miller, William Schuler, 2010, CMCL@ACL.

A Model of Language Processing as Hierarchic Sequential Prediction

William Schuler, Marten Van Schijndel, Marten van Schijndel, 2013, Top. Cogn. Sci..

A Framework for Fast Incremental Interpretation during Speech Decoding

Stephen T. Wu, Lane Schwartz, William Schuler, 2009, Computational Linguistics.

Unsupervised Grammar Induction with Depth-bounded PCFG

Lane Schwartz, Finale Doshi-Velez, William Schuler, 2018, TACL.

Multi-Component TAG and Notions of Formal Power

William Schuler, David Chiang, Mark Dras, 2000, ACL.

Test Sets for Chinese Nonlocal Dependency Parsing

William Schuler, Manjuan Duan, 2018, LREC.

Structured Composition of Semantic Vectors

Stephen T. Wu, William Schuler, 2011, IWCS.

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

William Schuler, Lifeng Jin, William Schuler, 2020, IWPT.

Preserving Semantic Dependencies in Synchronous Tree Adjoining Grammar

William Schuler, 1999, ACL.

A Parameterized Action Representation for Virtual Human Agents

Norman I. Badler, Rama Bindiganavale, William Schuler, 1998 .

Dynamic evidence models in a DBN phone recognizer

Stephen T. Wu, William Schuler, Timothy A. Miller, 2006, INTERSPEECH.

Integrating denotational meaning into a DBN language model

William Schuler, Timothy A. Miller, 2005, INTERSPEECH.

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

William Schuler, Timothy A. Miller, 2008, COLING.

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

William Schuler, Lifeng Jin, William Schuler, 2019, ACL.

Coreference and Focus in Reading Times

Evan Jaffe, William Schuler, Cory Shain, 2018, CMCL.

Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2017)

William Schuler, Asad B. Sayeed, Tal Linzen, 2017 .

A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models

Dingcheng Li, William Schuler, Timothy A. Miller, 2011, ACL.

ACUMEN: amplifying control and understanding of multiple entities

Norman I. Badler, Aravind K. Joshi, Martha Palmer, 2002, AAMAS '02.

Entity relation detection with factorial hidden markov models and maximum entropy discriminant latent dirichlet allocations

Dingcheng Li, William Schuler, Jeanette K. Gundel, 2011 .

Approximations of Predictive Entropy Correlate with Reading Times

William Schuler, Marten Van Schijndel, Marten van Schijndel, 2017, CogSci.

Cognitive Compositional Semantics using Continuation Dependencies

William Schuler, Adam Wheeler, 2014, *SEM@COLING.

Unsupervised Learning of PCFGs with Normalizing Flow

Lane Schwartz, Finale Doshi-Velez, William Schuler, 2019, ACL.

A machine translation system from English to American Sign Language

Norman I. Badler, Martha Palmer, William Schuler, 2000, AMTA.

Left-Corner Parsing With Distributed Associative Memory Produces Surprisal and Locality Effects.

William Schuler, Nathan E Rasmussen, William Schuler, 2018, Cognitive science.

Vectorial representations of meaning for a computational model of language comprehension

Stephen T. Wu, William Schuler, William Schuler, 2010 .

Memory-bounded Neural Incremental Parsing for Psycholinguistic Prediction

William Schuler, Lifeng Jin, William Schuler, 2020, IWPT.

Elements of a spoken language programming interface for robots

William Schuler, Timothy A. Miller, Andrew Exley, 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Parameterized Action Representation and Natural Language Instructions for Dynamic Behavior Modification of Embodied Agents

Norman I. Badler, Martha Palmer, Seung-Joo Lee, 2000 .

Hierarchic syntax improves reading time prediction

William Schuler, Marten Van Schijndel, Marten van Schijndel, 2015, NAACL.

Incremental Parsing in Bounded Memory

William Schuler, William Schuler, 2010, TAG.

Bean soup translation: flexible, linguistically-motivated syntax for machine translation

William Schuler, Dennis Mehay, William Schuler, 2012 .

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

William Schuler, Lifeng Jin, Manjuan Duan, 2016, SemEval@NAACL-HLT.

Connectionist-Inspired Incremental PCFG Parsing

William Schuler, Marten Van Schijndel, Marten van Schijndel, 2012, CMCL@NAACL-HLT.

Some remarks on an extension of synchronous TAG

William Schuler, David Chiang, Mark Dras, 2000, TAG+.

Parsing Speech Repair without Specialized Grammar Symbols

William Schuler, Timothy A. Miller, Luan Nguyen, 2009, ACL/IJCNLP.

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

William Schuler, Lifeng Jin, 2015, HLT-NAACL.

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

William Schuler, 2009, HLT-NAACL.

Incremental Syntactic Language Models for Phrase-based Translation

Chris Callison-Burch, Stephen T. Wu, Lane Schwartz, 2011, ACL.

Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects

William Schuler, Cory Shain, William Schuler, 2018, EMNLP.

Restrictions on Tree Adjoining Languages

Giorgio Satta, William Schuler, William Schuler, 1998, ACL.

Tractable models of natural language semantics for recognizing spoken directions

Aravind K. Joshi, Martha Palmer, William Schuler, 2003 .

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

William Schuler, William Schuler, 2003, ACL.

Evidence of syntactic working memory usage in MEG data

William Schuler, Brian Murphy, Marten Van Schijndel, 2015, CMCL@NAACL-HLT.

Incremental Semantic Models for continuous Context-Sensitive Speech Recognition

Lane Schwartz, William Schuler, Timothy A. Miller, 2007 .

Computational Properties of Environment-based Disambiguation

William Schuler, William Schuler, 2001, ACL.

A Corpus of Encyclopedia Articles with Logical Forms

William Schuler, Nathan Rasmussen, William Schuler, 2020, LREC.

Syntactic Probability Estimation using a Cognitively Motivated Grammar

Evan Jaffe, William Schuler, Marten van Schijndel, 2013 .

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

William Schuler, Byung-Doh Oh, Lifeng Jin, 2021, EMNLP.

Coreference-aware Surprisal Predicts Brain Response

Evan Jaffe, William Schuler, Byung-Doh Oh, 2021, EMNLP.

Contributions of Propositional Content and Syntactic Category Information in Sentence Processing

William Schuler, Byung-Doh Oh, 2021, CMCL.

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

Lane Schwartz, Finale Doshi-Velez, William Schuler, 2021, CL.

Surprisal Estimators for Human Reading Times Need Character Models

William Schuler, Byung-Doh Oh, Christian Clark, 2021, ACL.

fMRI reveals language-specific predictive coding during naturalistic sentence comprehension

William Schuler, Evelina Fedorenko, Cory Shain, 2020, Neuropsychologia.

Evidence of semantic processing difficulty in naturalistic reading

William Schuler, Richard Futrell, Evelina Fedorenko, 2018 .

Investigating locality effects and surprisal in written English syntactic choice phenomena

Michael White, William Schuler, Marten van Schijndel, 2016, Cognition.