Emergent Syntax: The Unremitting Value of Computational Modeling for Understanding the Origins of Complex Language. - Willem H. Zuidema (ECAL, 2001)

How the Poverty of the Stimulus Solves the Poverty of the Stimulus. - Willem H. Zuidema (NIPS, 2002)

Optimal Communication in a Noisy and Heterogeneous Environment. - Willem H. Zuidema (ECAL, 2003)

Evolution of an Optimal Lexicon under Constraints from Embodiment. - Willem H. Zuidema; Gert Westermann (Artif. Life, 2003)

What are the Productive Units of Natural Language Grammar? A DOP Approach to the Automatic Identification of Constructions. - Willem H. Zuidema (CoNLL, 2006)

Theoretical Evaluation of Estimation Methods for Data-Oriented Parsing. - Willem H. Zuidema (EACL, 2006)

Parsimonious Data-Oriented Parsing. - Willem H. Zuidema (EMNLP-CoNLL, 2007)

Unsupervised Methods for Head Assignments. - Federico Sangati; Willem H. Zuidema (EACL, 2009)

A generative re-ranking model for dependency parsing. - Federico Sangati; Willem H. Zuidema; Rens Bod (IWPT, 2009)

The evolution of combinatorial phonology. - Willem H. Zuidema; Bart de Boer (J. Phonetics, 2009)

Children's Grammars Grow More Abstract with Age - Evidence from an Automatic Procedure for Identifying the Productive Units of Language. - Gideon Borensztajn; Willem H. Zuidema; Rens Bod (Top. Cogn. Sci., 2009)

Efficiently Extract Recurring Tree Fragments from Large Treebanks. - Federico Sangati; Willem H. Zuidema; Rens Bod (LREC, 2010)

Multi-Agent Simulations of the Evolution of Combinatorial Phonology. - Bart de Boer; Willem H. Zuidema (Adapt. Behav., 2010)

What Are the Unique Design Features of Language? Formal Tools for Comparative Claims. - Willem H. Zuidema; Arie Verhagen (Adapt. Behav., 2010)

Episodic grammar: a computational model of the interaction between episodic and semantic memory in language processing. - Gideon Borensztajn; Willem H. Zuidema (CogSci, 2011)

Accurate Parsing with Compact Tree-Substitution Grammars: Double-DOP. - Federico Sangati; Willem H. Zuidema (EMNLP, 2011)

Learning Compositional Semantics for Open Domain Semantic Parsing. - Phong Le; Willem H. Zuidema (COLING, 2012)

Learning from errors: Using vector-based compositional semantics for parse reranking. - Phong Le; Willem H. Zuidema; Remko Scha (CVSM@ACL, 2013)

Context-freeness Revisited. - Willem H. Zuidema (CogSci, 2013)

The Inside-Outside Recursive Neural Network model for Dependency Parsing. - Phong Le; Willem H. Zuidema (EMNLP, 2014)

The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization. - Phong Le; Willem H. Zuidema (EMNLP, 2015)

Unsupervised Dependency Parsing: Let's Use Supervised Parsers. - Phong Le; Willem H. Zuidema (HLT-NAACL, 2015)

Compositional Distributional Semantics with Long Short Term Memory. - Phong Le; Willem H. Zuidema (*SEM@NAACL-HLT, 2015)

Diagnostic Classifiers Revealing how Neural Networks Process Hierarchical Structure. - Sara Veldhoen; Dieuwke Hupkes; Willem H. Zuidema (CoCo@NIPS, 2016)

Quantifying the Vanishing Gradient and Long Distance Dependency Problem in Recursive Neural Networks and Recursive LSTMs. - Phong Le; Willem H. Zuidema (Rep4NLP@ACL, 2016)

Segmentation as Retention and Recognition: the R&R model. - Raquel G. Alhama; Willem H. Zuidema (CogSci, 2017)

Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. - Samira Abnar; Rasyan Ahmed; Max Mijnheer; Willem H. Zuidema (CMCL, 2018)

Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information. - Mario Giulianelli; Jack Harding; Florian Mohnert; Dieuwke Hupkes; Willem H. Zuidema (BlackboxNLP@EMNLP, 2018)

Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract). - Dieuwke Hupkes; Willem H. Zuidema (IJCAI, 2018)

Pre-Wiring and Pre-Training: What Does a Neural Network Need to Learn Truly General Identity Rules? - Raquel G. Alhama; Willem H. Zuidema (J. Artif. Intell. Res., 2018)

Visualisation and 'Diagnostic Classifiers' Reveal How Recurrent and Recursive Neural Networks Process Hierarchical Structure. - Dieuwke Hupkes; Sara Veldhoen; Willem H. Zuidema (J. Artif. Intell. Res., 2018)

Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains. - Samira Abnar; Lisa Beinborn; Rochelle Choenni; Willem H. Zuidema (BlackboxNLP@ACL, 2019)

Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment. - Jaap Jumelet; Willem H. Zuidema; Dieuwke Hupkes (CoNLL, 2019)

Formal models of Structure Building in Music, Language and Animal Songs. - Willem H. Zuidema; Dieuwke Hupkes; Geraint A. Wiggins; Constance Scharff; Martin Rohrmeier (CoRR, 2019)

Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization. - Mathijs Mul; Willem H. Zuidema (CoRR, 2019)

Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains. - Samira Abnar; Lisa Beinborn; Rochelle Choenni; Willem H. Zuidema (CoRR, 2019)

Quantifying Attention Flow in Transformers. - Samira Abnar; Willem H. Zuidema (ACL, 2020)

DoLFIn: Distributions over Latent Features for Interpretability. - Phong Le; Willem H. Zuidema (COLING, 2020)

Studying Large Plainchant Corpora Using chant21. - Bas Cornelissen; Willem H. Zuidema; John Ashley Burgoyne (DLfM, 2020)

Mode classification and natural units in plainchant. - Bas Cornelissen; Willem H. Zuidema; John Ashley Burgoyne (ISMIR, 2020)

Transferring Inductive Biases through Knowledge Distillation. - Samira Abnar; Mostafa Dehghani 001; Willem H. Zuidema (CoRR, 2020)

Word prediction in computational historical linguistics. - Peter Dekker; Willem H. Zuidema (J. Lang. Model., 2020)

Editors' Review and Introduction: Learning Grammatical Structures: Developmental, Cross-Species, and Computational Approaches. - Carel ten Cate; Judit Gervain; Clara C. Levelt; Christopher I. Petkov; Willem H. Zuidema (Top. Cogn. Sci., 2020)

Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation. - Julia Uddén; Maurício de Jesus Dias Martins; Willem H. Zuidema; W. Tecumseh Fitch (Top. Cogn. Sci., 2020)

Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. - Willem H. Zuidema; Robert M. French; Raquel G. Alhama; Kevin Ellis; Timothy J. O'Donnell; Tim Sainburg; Timothy Gentner (Top. Cogn. Sci., 2020)

Cosine Contours: a Multipurpose Representation for Melodies. - Bas Cornelissen; Willem H. Zuidema; John Ashley Burgoyne (ISMIR, 2021)

Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations. - Arabella Sinclair; Jaap Jumelet; Willem H. Zuidema; Raquel Fernández (CoRR, 2021)

The Birth of Bias: A case study on the evolution of gender bias in an English language model. - Oskar van der Wal; Jaap Jumelet; Katrin Schulz; Willem H. Zuidema (CoRR, 2022)

Undesirable biases in NLP: Averting a crisis of measurement. - Oskar van der Wal; Dominik Bachmann; Alina Leidinger; Leendert van Maanen; Willem H. Zuidema; Katrin Schulz (CoRR, 2022)

Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations. - Arabella J. Sinclair; Jaap Jumelet; Willem H. Zuidema; Raquel Fernández (Trans. Assoc. Comput. Linguistics, 2022)

Feature Interactions Reveal Linguistic Structure in Language Models. - Jaap Jumelet; Willem H. Zuidema (ACL (Findings), 2023)

Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model. - Abhijith Chintam; Rahel Beloch; Willem H. Zuidema; Michael Hanna 001; Oskar van der Wal (BlackboxNLP@EMNLP, 2023)

Quantifying Context Mixing in Transformers. - Hosein Mohebbi; Willem H. Zuidema; Grzegorz Chrupala; Afra Alishahi (EACL, 2023)

Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution. - Jaap Jumelet; Willem H. Zuidema (EMNLP (Findings), 2023)

Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers. - Hosein Mohebbi; Grzegorz Chrupala; Willem H. Zuidema; Afra Alishahi (EMNLP, 2023)

Quantifying the Ease of Playing Song Chords on the Guitar. - Marcel A. Vélez Vásquez; Mariëlle Baelemans; Jonathan Driedger; Willem H. Zuidema; John Ashley Burgoyne (ISMIR, 2023)

Do Language Models Exhibit Human-like Structural Priming Effects? - Jaap Jumelet; Willem H. Zuidema; Arabella Sinclair (ACL (Findings), 2024)

Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0. - Marianne de Heer Kloots; Willem H. Zuidema (INTERSPEECH, 2024)

Exploring the Inner Mechanisms of Large Generative Music Models. - Marcel A. Vélez Vásquez; Charlotte Pouw; John Ashley Burgoyne; Willem H. Zuidema (ISMIR, 2024)

DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers. - Anna Langedijk; Hosein Mohebbi; Gabriele Sarti; Willem H. Zuidema; Jaap Jumelet (NAACL-HLT (Findings), 2024)

Perception of Phonological Assimilation by Neural Speech Recognition Models. - Charlotte Pouw; Marianne de Heer Kloots; Afra Alishahi; Willem H. Zuidema (Comput. Linguistics, 2024)

Black Big Boxes: Do Language Models Hide a Theory of Adjective Order? - Jaap Jumelet; Lisa Bylinina; Willem H. Zuidema; Jakub Szymanik (CoRR, 2024)

Disentangling Textual and Acoustic Features of Neural Speech Representations. - Hosein Mohebbi; Grzegorz Chrupala; Willem H. Zuidema; Afra Alishahi; Ivan Titov 001 (CoRR, 2024)

Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework. - Angela van Sprang; Erman Acar; Willem H. Zuidema (CoRR, 2024)

Undesirable Biases in NLP: Addressing Challenges of Measurement. - Oskar van der Wal; Dominik Bachmann; Alina Leidinger; Leendert van Maanen; Willem H. Zuidema; Katrin Schulz (J. Artif. Intell. Res., 2024)

fl-IRT-ing with Psychometrics to Improve NLP Bias Measurement. - Dominik Bachmann; Oskar van der Wal; Edita Chvojka; Willem H. Zuidema; Leendert van Maanen; Katrin Schulz (Minds Mach., 2024)

PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs. - Oskar van der Wal; Pietro Lesci; Max Müller-Eberstein; Naomi Saphra; Hailey Schoelkopf; Willem H. Zuidema; Stella Biderman (ICLR, 2025)

A Linguistically Motivated Analysis of Intonational Phrasing in Text-to-Speech Systems: Revealing Gaps in Syntactic Sensitivity. - Charlotte Pouw; Afra Alishahi; Willem H. Zuidema (CoRR, 2025)

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training. - Marianne de Heer Kloots; Hosein Mohebbi; Charlotte Pouw; Gaofei Shen; Willem H. Zuidema; Martijn Bentum (CoRR, 2025)

Propositional Logic for Probing Generalization in Neural Networks. - Anna Langedijk; Jaap Jumelet; Willem H. Zuidema (CoRR, 2025)