Willem H. Zuidema

发表

Formal models of Structure Building in Music, Language and Animal Songs pdf

Geraint A. Wiggins, Martin Rohrmeier, Constance Scharff, 2019, ArXiv.

The Inside-Outside Recursive Neural Network model for Dependency Parsing

Phong Le, Willem H. Zuidema, Phong Le, 2014, EMNLP.

Parsimonious Data-Oriented Parsing

Willem H. Zuidema, 2007, EMNLP-CoNLL.

Diagnostic Classifiers Revealing how Neural Networks Process Hierarchical Structure

Sara Veldhoen, Willem H. Zuidema, Dieuwke Hupkes, 2016, CoCo@NIPS.

Learning Compositional Semantics for Open Domain Semantic Parsing

Phong Le, Willem H. Zuidema, Phong Le, 2012, COLING.

Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity pdf

Willem H. Zuidema, Samira Abnar, Rasyan Ahmed, 2018, CMCL.

Pre-Wiring and Pre-Training: What Does a Neural Network Need to Learn Truly General Identity Rules?

Willem H. Zuidema, Raquel G. Alhama, 2018, CoCo@NIPS.

Unsupervised Methods for Head Assignments

Federico Sangati, Willem H. Zuidema, Federico Sangati, 2009, EACL.

Segmentation as Retention and Recognition: the R&R model

Willem H. Zuidema, Raquel G. Alhama, 2017, CogSci.

Visualisation and 'Diagnostic Classifiers' Reveal How Recurrent and Recursive Neural Networks Process Hierarchical Structure

Sara Veldhoen, Willem H. Zuidema, Dieuwke Hupkes, 2018, J. Artif. Intell. Res..

Evolution of an Optimal Lexicon under Constraints from Embodiment

Gert Westermann, Willem H. Zuidema, G. Westermann, 2003, Artificial Life.

Theoretical Evaluation of Estimation Methods for Data-Oriented Parsing

Willem H. Zuidema, 2006, EACL.

Optimal Communication in a Noisy and Heterogeneous Environment

Willem H. Zuidema, 2003, ECAL.

Compositional Distributional Semantics with Long Short Term Memory pdf

Phong Le, Willem H. Zuidema, Phong Le, 2015, *SEMEVAL.

Multi-Agent Simulations of the Evolution of Combinatorial Phonology

Bart de Boer, Willem H. Zuidema, B. D. Boer, 2010, Adapt. Behav..

How the Poverty of the Stimulus Solves the Poverty of the Stimulus

Willem H. Zuidema, 2002, NIPS.

Unsupervised Dependency Parsing: Let’s Use Supervised Parsers pdf

Phong Le, Willem H. Zuidema, Phong Le, 2015, NAACL.

Quantifying the Vanishing Gradient and Long Distance Dependency Problem in Recursive Neural Networks and Recursive LSTMs

Phong Le, Willem H. Zuidema, Phong Le, 2016, Rep4NLP@ACL.

Context-freeness Revisited

Willem H. Zuidema, 2013, CogSci.

Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information

Florian Mohnert, Willem H. Zuidema, Dieuwke Hupkes, 2018, BlackboxNLP@EMNLP.

Accurate Parsing with Compact Tree-Substitution Grammars: Double-DOP

Federico Sangati, Willem H. Zuidema, Federico Sangati, 2011, EMNLP.

The evolution of combinatorial phonology

Bart de Boer, Willem H. Zuidema, B. D. Boer, 2009, J. Phonetics.

The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization

Phong Le, Willem H. Zuidema, Phong Le, 2015, EMNLP.

Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure pdf

Willem H. Zuidema, Dieuwke Hupkes, D. Hupkes, 2017, J. Artif. Intell. Res..

Learning from errors: Using vector-based compositional semantics for parse reranking

Remko Scha, Phong Le, Willem H. Zuidema, 2013, CVSM@ACL.

What Are the Unique Design Features of Language? Formal Tools for Comparative Claims

Arie Verhagen, Willem H. Zuidema, A. Verhagen, 2010, Adapt. Behav..

Episodic grammar: a computational model of the interaction between episodic and semantic memory in language processing

Gideon Borensztajn, Willem H. Zuidema, G. Borensztajn, 2011, CogSci.

What are the Productive Units of Natural Language Grammar? A DOP Approach to the Automatic Identification of Constructions.

Willem H. Zuidema, 2006, CoNLL.

Emergent Syntax: The Unremitting Value of Computational Modeling for Understanding the Origins of Complex Language

Willem H. Zuidema, 2001, ECAL.

Simple rules can explain discrimination of putative recursive syntactic structures by a songbird species

Willem H. Zuidema, Caroline A A van Heijningen, J. de Visser, 2009, Proceedings of the National Academy of Sciences.

Not logical : A distributional semantic account of negated adjectives

Willem H. Zuidema, R. Bernardi, R. Fernández, 2017 .

Five fundamental constraints on theories of the origins of music

Willem H. Zuidema, B. Merker, I. Morley, 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.

Bayesian Model Merging for Unsupervised Constituent Labeling and Grammar Induction

Willem H. Zuidema, G. Borensztajn, 2022 .

Three Design Principles of Language: The Search for Parsimony in Redundancy

Willem H. Zuidema, R. Bod, Barend Beekhuizen, 2013, Language and speech.

Language adapting to the brain: a study of a Bayesian iterated learning model

Willem H. Zuidema, Vanessa Ferdinand, 2008 .

Modelling in the Language Sciences

Willem H. Zuidema, G. BoerdeB., 2012 .

A review of computational models of basic rule learning: The neural-symbolic debate and beyond

Willem Zuidema, Willem H. Zuidema, Raquel G. Alhama, 2019, Psychonomic Bulletin & Review.

Towards Formal Models of Embodiment and Self-organization of Language

Willem H. Zuidema, 2001 .

Language in Nature: on the Evolutionary Roots of a Cultural Phenomenon (draft chapter for The Language Phenomenon)

Willem H. Zuidema, 2012 .

Generalization in Artificial Language Learning: Modelling the Propensity to Generalize

Willem H. Zuidema, Raquel G. Alhama, 2016 .

Grounding Formal Syntax in an Almost Real World

Willem H. Zuidema, J. V. Looveren, J. D. Beule, 2002 .

Models of language evolution: does the math add up?

Willem H. Zuidema, B. D. Boer, 2009 .

Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations

Willem H. Zuidema, Arabella J. Sinclair, R. Fernández, 2021, 2109.14989.

Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations

Willem H. Zuidema, Arabella J. Sinclair, R. Fernández, 2021, Transactions of the Association for Computational Linguistics.

Rule-learning in recurrent neural networks

Willem H. Zuidema, J. Murre, 2019 .

RULE LEARNING IN HUMANS AND ANIMALS

Willem H. Zuidema, Raquel G. Alhama, R. Scha, 2014 .

The major transitions in the evolution of language

Willem Zuidema, Willem H. Zuidema, 2005 .

The importance of social learning in the evolution of cooperation and communication

Willem H. Zuidema, 2002, Behavioral and Brain Sciences.

The Birth of Bias: A case study on the evolution of gender bias in an English language model

Willem H. Zuidema, Oskar van der Wal, K. Schulz, 2022, GEBNLP.

Studying Large Plainchant Corpora Using chant21

Willem H. Zuidema, B. Cornelissen, J. Burgoyne, 2020, International Workshop on Digital Libraries for Musicology.

Principles of structure building in music, language and animal song

Geraint A. Wiggins, Willem Zuidema, Martin Rohrmeier, 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.

The hierarchical prediction network: Towards a neural theory of grammar acquisition

Rens Bod, Willem Zuidema, Gideon Borensztajn, 2009 .

Grammar Induction & Language Evolution

Rens Bod, Willem Zuidema, Willem H. Zuidema, 2008 .

Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations pdf

Arabella Sinclair, Willem Zuidema, Willem H. Zuidema, 2021, ArXiv.

Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment pdf

Willem Zuidema, Willem H. Zuidema, Dieuwke Hupkes, 2019, CoNLL.

Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains pdf

Willem Zuidema, Lisa Beinborn, Willem H. Zuidema, 2019, BlackboxNLP@ACL.

Editors' Review and Introduction: Learning Grammatical Structures: Developmental, Cross-Species, and Computational Approaches

Willem Zuidema, Judit Gervain, Carel Ten Cate, 2020, Top. Cogn. Sci..

Quantifying Context Mixing in Transformers

Willem H. Zuidema, A. Alishahi, Grzegorz Chrupała, 2023, EACL.

The Birth of Bias: A case study on the evolution of gender bias in an English language model

Willem H. Zuidema, Oskar van der Wal, K. Schulz, 2022, GEBNLP.

Modeling in the language sciences

Willem Zuidema, Willem H. Zuidema, R. J. Podesva, 2013 .

GENERAL PURPOSE COGNITIVE PROCESSING CONSTRAINTS AND PHONOTACTIC PROPERTIES OF THE VOCABULARY

Willem H. Zuidema, P. Monaghan, 2015 .

The evolution of combinatorial structure in language

Bart de Boer, Willem Zuidema, Willem H. Zuidema, 2018, Current Opinion in Behavioral Sciences.

How did we get from there to here in the evolution of language

Bart de Boer, Willem Zuidema, Willem H. Zuidema, 2003 .

A syllable frequency list for Dutch

Willem Zuidema, Willem H. Zuidema, 2008 .

Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation

Willem Zuidema, Julia Uddén, Mauricio de Jesus Dias Martins, 2019, Top. Cogn. Sci..

Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning

Tim Sainburg, Willem Zuidema, Timothy Q Gentner, 2019, Top. Cogn. Sci..

Feature Interactions Reveal Linguistic Structure in Language Models

Willem H. Zuidema, Jaap Jumelet, 2023, ACL.

Social patterns restrict evolving grammars (stageverslag )

Willem Zuidema, Willem H. Zuidema, 1999 .

Beyond the argument from design

Willem H. Zuidema, A. Cangelosi, Kenny Smith, 2006 .

On the structural ambiguity in natural language that the neural architecture cannot deal with

Rens Bod, Willem Zuidema, Hartmut Fitz, 2006, Behavioral and Brain Sciences.

Evolution: the erratic path towards complexity

Willem Zuidema, Willem H. Zuidema, Nick Barton, 2003, Current Biology.

Reply to Gentner et al.: As simple as possible, but not simpler

Willem Zuidema, Willem H. Zuidema, Carel ten Cate, 2010, Proceedings of the National Academy of Sciences.

Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure

Willem H. Zuidema, D. Hupkes, 2017, J. Artif. Intell. Res..

Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract)

Willem H. Zuidema, D. Hupkes, 2018, IJCAI.

Diagnostic Classifiers Revealing how Neural Networks Process Hierarchical Structure

Willem H. Zuidema, D. Hupkes, S. Veldhoen, 2016, CoCo@NIPS.

Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization pdf

Mathijs Mul, Willem Zuidema, Willem H. Zuidema, 2019, ArXiv.

On the Relevanceof LanguageEvolution Models for CognitiveScience

Willem H. Zuidema, 2001 .

On the Relevance of Language Evolution Models for Cognitive Science

Gert Westermann, Willem Zuidema, Willem H. Zuidema, 2001 .

Social patterns guide evolving grammars

Willem Zuidema, Paulien Hogeweg, Willem H. Zuidema, 2000 .