Willem H. Zuidema
Orcid: 0000-0002-2362-5447Affiliations:
- University of Amsterdam, The Netherlands
According to our database1,
Willem H. Zuidema
authored at least 62 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
J. Artif. Intell. Res., 2024
Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0.
CoRR, 2024
CoRR, 2024
2023
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023
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
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
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
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
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
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
Proceedings of the DLfM '20: 7th International Conference on Digital Libraries for Musicology, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
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
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
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
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
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015
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
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
2013
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
Proceedings of the COLING 2012, 2012
2011
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
Adapt. Behav., 2010
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
Proceedings of the 11th International Workshop on Parsing Technologies (IWPT-2009), 2009
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
2006
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
Proceedings of the Advances in Artificial Life, 7th European Conference, 2003
2002
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