Willem H. Zuidema

Orcid: 0000-0002-2362-5447

According to our database1, Willem H. Zuidema authored at least 58 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Undesirable Biases in NLP: Addressing Challenges of Measurement.
J. Artif. Intell. Res., 2024

2023
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers.
CoRR, 2023

Quantifying the Ease of Playing Song Chords on the Guitar.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Quantifying Context Mixing in Transformers.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model.
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Feature Interactions Reveal Linguistic Structure in Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations.
Trans. Assoc. Comput. Linguistics, 2022

Undesirable biases in NLP: Averting a crisis of measurement.
CoRR, 2022

The Birth of Bias: A case study on the evolution of gender bias in an English language model.
CoRR, 2022

2021
Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations.
CoRR, 2021

Cosine Contours: a Multipurpose Representation for Melodies.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning.
Top. Cogn. Sci., 2020

Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation.
Top. Cogn. Sci., 2020

Editors' Review and Introduction: Learning Grammatical Structures: Developmental, Cross-Species, and Computational Approaches.
Top. Cogn. Sci., 2020

Word prediction in computational historical linguistics.
J. Lang. Model., 2020

Transferring Inductive Biases through Knowledge Distillation.
CoRR, 2020

Mode classification and natural units in plainchant.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Studying Large Plainchant Corpora Using chant21.
Proceedings of the DLfM '20: 7th International Conference on Digital Libraries for Musicology, 2020

DoLFIn: Distributions over Latent Features for Interpretability.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Quantifying Attention Flow in Transformers.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains.
CoRR, 2019

Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization.
CoRR, 2019

Formal models of Structure Building in Music, Language and Animal Songs.
CoRR, 2019

Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains.
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

2018
Visualisation and 'Diagnostic Classifiers' Reveal How Recurrent and Recursive Neural Networks Process Hierarchical Structure.
J. Artif. Intell. Res., 2018

Pre-Wiring and Pre-Training: What Does a Neural Network Need to Learn Truly General Identity Rules?
J. Artif. Intell. Res., 2018

Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract).
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity.
Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics, 2018

2017
Segmentation as Retention and Recognition: the R&R model.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Quantifying the Vanishing Gradient and Long Distance Dependency Problem in Recursive Neural Networks and Recursive LSTMs.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Diagnostic Classifiers Revealing how Neural Networks Process Hierarchical Structure.
Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016

2015
Compositional Distributional Semantics with Long Short Term Memory.
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015

Unsupervised Dependency Parsing: Let's Use Supervised Parsers.
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

The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
The Inside-Outside Recursive Neural Network model for Dependency Parsing.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Context-freeness Revisited.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Learning from errors: Using vector-based compositional semantics for parse reranking.
Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013

2012
Learning Compositional Semantics for Open Domain Semantic Parsing.
Proceedings of the COLING 2012, 2012

2011
Accurate Parsing with Compact Tree-Substitution Grammars: Double-DOP.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Episodic grammar: a computational model of the interaction between episodic and semantic memory in language processing.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
What Are the Unique Design Features of Language? Formal Tools for Comparative Claims.
Adapt. Behav., 2010

Multi-Agent Simulations of the Evolution of Combinatorial Phonology.
Adapt. Behav., 2010

Efficiently Extract Recurring Tree Fragments from Large Treebanks.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

2009
Children's Grammars Grow More Abstract with Age - Evidence from an Automatic Procedure for Identifying the Productive Units of Language.
Top. Cogn. Sci., 2009

The evolution of combinatorial phonology.
J. Phonetics, 2009

A generative re-ranking model for dependency parsing.
Proceedings of the 11th International Workshop on Parsing Technologies (IWPT-2009), 2009

Unsupervised Methods for Head Assignments.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

2007
Parsimonious Data-Oriented Parsing.
Proceedings of the EMNLP-CoNLL 2007, 2007

2006
Theoretical Evaluation of Estimation Methods for Data-Oriented Parsing.
Proceedings of the EACL 2006, 2006

What are the Productive Units of Natural Language Grammar? A DOP Approach to the Automatic Identification of Constructions.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

2003
Evolution of an Optimal Lexicon under Constraints from Embodiment.
Artif. Life, 2003

Optimal Communication in a Noisy and Heterogeneous Environment.
Proceedings of the Advances in Artificial Life, 7th European Conference, 2003

2002
How the Poverty of the Stimulus Solves the Poverty of the Stimulus.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Emergent Syntax: The Unremitting Value of Computational Modeling for Understanding the Origins of Complex Language.
Proceedings of the Advances in Artificial Life, 6th European Conference, 2001


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