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dr. W.H. (Jelle) Zuidema

Faculty of Science
ILLC

Visiting address
  • Science Park 105
  • Room number: F2.45
Postal address
  • Postbus 94242
    1090 GE Amsterdam
  • Publications

    2018

    • Abnar, S., Ahmed, R., Mijnheer, M., & Zuidema, W. (2018). Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity. In Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2018): January 7, 2018 (pp. 57-66). Stroudsburg, PA: Association for Computational Linguistics. DOI: 10.18653/v1/W18-0107 [details]
    • Alhama, R. G., & Zuidema, W. (2018). Pre-wiring and pre-training: What does a neural network need to learn truly general identity rules? Journal of Artificial Intelligence Research, 61, 927-946. DOI: 10.1613/jair.1.11197 [details]
    • Hupkes, D., Veldhoen, S., & Zuidema, W. (2018). Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure. Journal of Artificial Intelligence Research, 61, 907-926. DOI: 10.1613/jair.1.11196 [details]
    • Zuidema, W. H., & Veldhoen, S. F. (2018). Can Neural Networks learn Logical Reasoning? In Proceedings of the Conference on Logic and Machine Learning in Natural Language (LaML 2017) Gothenburg, Sweden.
    • Zuidema, W., & de Boer, B. (2018). The evolution of combinatorial structure in language. Current Opinion in Behavioral Sciences, 21, 138-144.
    • Zuidema, W., Hupkes, D., Wiggins, G. A., Scharff, C., Rohrmeirer, M., & Honing, H. (Ed.) (2018). Formal Models of Structure Building in Music, Language, and Animal Song. In The Origins of Musicality (pp. 253-286). (The Origins of Musicality).
    • Giulianelli, M., Harding, J., Mohnert, F., Hupkes, D., & Zuidema, W. H. (2018). Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information. In Proceedings Workshop on Analyzing and interpreting neural networks for NLP (at EMNLP'2018)
    • Merker, B., Morley, I., Zuidema, W., & Honing, H. J. (Ed.) (2018). Five fundamental constraints on theories of the origins of music. In The Origins of Musicality (pp. 49-80). (The Origins of Musicality). MIT Press.

    2017

    • Hupkes, D., & Zuidema, W. H. (2017). Diagnostic classification and symbolic guidance to understand and improve recurrent neural networks. In Proceedings 31st Conference on Neural Information Processing Systems (NIPS 2017)

    2016

    • Alhama, R. G., & Zuidema, W. (2016). Pre-Wiring and Pre-Training: What does a neural network need to learn truly general identity rules? CEUR Workshop Proceedings, 1773, [4]. [details]
    • Alhama, R. G., & Zuidema, W. (2016). Generalization in Artificial Language Learning: Modelling the Propensity to Generalize. In A. Korhonen, A. Lenci, B. Murphy, T. Poibeau, & A. Villavicencio (Eds.), The 54th Annual Meeting of the Association for Computational Linguistics: proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning: August 11, 2016, Berlin, Germany (pp. 64-72). Stroudsburg, PA: Association for Computational Linguistics. [details]
    • Lê, P., & Zuidema, W. H. (2016). Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs. In Proceedings Workshop on Representation Learning (at ACL2016) (pp. 87-93)
    • Veldhoen, S., Hupkes, D., & Zuidema, W. (2016). Diagnostic Classifiers: Revealing how Neural Networks Process Hierarchical Structure. CEUR Workshop Proceedings, 1773, [6]. [details]

    2015

    • Merker, B., Morley, I., & Zuidema, W. (2015). Five fundamental constraints on theories of the origins of music. Philosophical Transactions of the Royal Society B: Biological Sciences, 370(1664), [20140095]. DOI: 10.1098/rstb.2014.0095 [details]
    • Rohrmeier, M., Zuidema, W., Wiggins, G. A., & Scharff, C. (2015). Principles of structure building in music, language and animal song. Philosophical Transactions of the Royal Society B: Biological Sciences, 370(1664), [20140097]. DOI: 10.1098/rstb.2014.0097 [details]
    • Le, P., & Zuidema, W. (2015). Compositional Distributional Semantics with Long Short Term Memory. In Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics: *SEM 2015 : June 4-5, 2015, Denver, Colorado, UAA (pp. 10-19). The *SEM 2015 Organizing Committee. [details]
    • Le, P., & Zuidema, W. (2015). The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization. In L. Márquez, C. Callison-Burch, & J. Su (Eds.), EMNLP 2015 Lisbon : conference proceedings: September 17-21 : Conference on Empirical Methods in Natural Language Processing (pp. 1155-1164). Stroudsburg, PA: The Association for Computational Linguistics. [details]
    • Le, P., & Zuidema, W. (2015). Unsupervised Dependency Parsing: Let's Use Supervised Parsers. In R. Mihalcea, J. Chai, & A. Sarkar (Eds.), NAACL HLT 2015: The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference : May 31-June 5, 2015, Denver, Colorado, USA (pp. 651-661). Stroudsburg, PA: The Association for Computational Linguistics. [details]

    2014

    • Alhama, R. G., Scha, R., & Zuidema, W. (2014). Rule Learning in Humans and Animals. In E. A. Cartmill, S. Roberts, H. Lyn, & H. Cornish (Eds.), The Evolution of Language: proceedings of the 10th International Conference (EVOLANG10), Vienna, Austria, 14-17 April 2014 (pp. 371-372). London: World Scientific. DOI: 10.1142/9789814603638_0049 [details]
    • Le, P., & Zuidema, W. (2014). Inside-Outside Semantics: A Framework for Neural Models of Semantic Composition. In NIPS 2014 Workshop on Deep Learning and Representation Learning
    • Le, P., & Zuidema, W. (2014). The Inside-Outside Recursive Neural Network model for Dependency Parsing. In A. Moschitti, B. Pang, & W. Daelemans (Eds.), EMNLP 2014: the 2014 Conference on Empirical Methods in Natural Language Processing: proceedings of the conference: October 25-29, 2014, Doha, Qatar (pp. 729-739). Stroudsburg, PA: Association for Computational Linguistics. [details]

    2013

    • Beekhuizen, B., Bod, R., & Zuidema, W. (2013). Three Design Principles of Language: The Search for Parsimony in Redundancy. Language and Speech, 56(3), 265-290. DOI: 10.1177/0023830913484897 [details]
    • Le, P., Zuidema, W. H., & Scha, R. (2013). Learning from errors: Using vector-based compositional semantics for parse reranking. In Workshop on Continuous Vector Space Models and their Compositionality (ACL 2013)
    • Zuidema, W. H. (2013). Contextfreeness Revisited. In Proceedings of the 35th Annual Conference of the Cognitive Science Society

    2012

    • Le, P., & Zuidema, W. (2012). Learning compositional semantics for open domain semantic parsing. In M. Kay, & C. Boitet (Eds.), 24th International Conference on Computational Linguistics: proceedings of COLING 2012: technical papers: 8-15 December 2012, Mumbai, India (pp. 1535-1551). Powai, Mumbai: Indian Institute of Technology Bombay. [details]

    2011

    • Borensztajn, G., & Zuidema, W. (2011). Episodic grammar: a computational model of the interaction between episodic and semantic memory in language processing. In L. Carlson, C. Hoelscher, & T. F. Shipley (Eds.), Expanding the Space of Cognitive Science: proceedings of the 33d Annual Conference of the Cognitive Science Society: Boston, Massachusetts, July 20-23, 2011 (pp. 507-512). Austin, TX: Cognitive Science Society. [details]
    • Kunert, R., Fernandez Rovira, R., & Zuidema, W. H. (2011). Adaptation in Child Directed Speech: Evidence from Corpora. In R. Arstein, D. Core, D. DeVault, K. Georgila, A. Stent, & E. Keiser (Eds.), Proceedings of the 15th SEMDIAL Workshop on the Semantics and Pragmatics of Dialogue (Los Angelogue) (pp. 112-119). Los Angeles, California (USA): Institute for Creative Technologies, University of Southern California.

    2010

    • Sangati, F., Zuidema, W., & Bod, R. (2010). Efficiently extract recurring tree fragments from large treebanks. In N. Calzolari, K. Choukri, B. Maegaard, J. Mariani, J. Odijk, S. Piperidis, M. Rosner, ... D. Tapias (Eds.), Proceedings of the 7th international conference on Language Resources and Evaluation (LREC'10) (pp. 219-226). European Language Resources Association (ELRA). [details]
    • de Boer, B., & Zuidema, W. (2010). Multi-agent simulations of the evolution of combinatorial phonology. Adaptive Behavior, 18(2), 141-154. DOI: 10.1177/1059712309345789 [details]

    2009

    • Borensztajn, G., Zuidema, W., & Bod, R. (2009). Children's grammars grow more abstract with age—Evidence from an automatic procedure for identifying the productive units of language. Topics in Cognitive Science, 1(1), 175-188. https://doi.org/10.1111/j.1756-8765.2008.01009.x [details]
    • Borensztajn, G., Zuidema, W., & Bod, R. (2009). The hierarchical prediction network: Towards a neural theory of grammar acquisition. In N. Taatgen, & H. van Rijn (Eds.), Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society (pp. 2974-2979). Austin, TX: Cognitive Science Society. [details]
    • Sangati, F., Zuidema, W., & Bod, R. (2009). A generative re-ranking model for dependency parsing. In Proceedings of the 11th International Conference on Parsing Technologies, IWPT-09: 7-9 October 2009, Paris, France (pp. 238-241). Morristown, NJ: Association for Computational Linguistics (ACL). [details]
    • Zuidema, W., & de Boer, B. (2009). The evolution of combinatorial phonology. Journal of Phonetics, 37(2), 125-140. DOI: 10.1016/j.wocn.2008.10.003 [details]
    • Ferdinand, V., & Zuidema, W. (2009). Thomas' theorem meets Bayes' rule: A model of the iterated learning of language. In N. Taatgen, & H. van Rijn (Eds.), Proceedings of the Thirty-First Annual Conference of the Cognitive Science Society (pp. 1786-1791). Austin, TX: Cognitive Science Society. [details]
    • van Heijningen, C. A. A., de Visser, J., Zuidema, W., & ten Cate, C. (2009). Simple rules can explain discrimination of putative recursive syntactic structures by a songbird species. Proceedings of the National Academy of Sciences of the United States of America, 106(48), 20538-20534. https://doi.org/10.1073/pnas.0908113106 [details]

    2008

    • Borensztajn, G., Zuidema, W., & Bod, R. (2008). Children's grammars grow more abstract with age - Evidence from an automatic procedure for identifying the productive units of language. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 47-52). Austin, TX: Cognitive Science Society. [details]
    • Sangati, F., & Zuidema, W. (2008). Communication, cooperation and coherence: putting mathematical models into perspective. In A. D. M. Smith, K. Smith, & R. Ferrer i Cancho (Eds.), The evolution of language: proceedings of the 7th International Conference (EVOLANG7), Barcelona, Spain, 12-15 March 2008 (pp. 491-492). Singapore: World Scientific. DOI: 10.1142/9789812776129_0096 [details]

    2007

    • Zuidema, W. H. (2007). Parsimonious Data-Oriented Parsing. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) (pp. 551-560). Stroudsburg, PA, USA: Association for Computational Linguistics. [details]

    2006

    • Zuidema, W. H. (2006). Theoretical Evaluation of Estimation Methods for Data-Oriented Parsing. In Conference Companion / Proceedings 11th Conference of the European Chapter of the Association for Computational Linguistics (pp. 183-186). Association for Computational Linguistics. [details]
    • Zuidema, W. H. (2006). What are the Productive Units of Natural Language Grammar? A DOP Approach to the Automatic Identification of Constructions. In Proceedings of the Tenth Conference on Computational Natural Language Learning (CONLL-X) (pp. 29-36). Association for Computational Linguistics. [details]
    • Zuidema, W. H., & O'Donnell, T. (2006). Beyond the argument from design. In A. Cangelosi, A. D. M. Smith, & K. Smith (Eds.), Proceedings of the 6th International Conference Evolang6 (pp. 459-460) [details]

    2014

    • Honing, H., & Zuidema, W. (2014). Decomposing dendrophilia: Comment on "Toward a Computational Framework for Cognitive Biology: Unifying approaches from cognitive neuroscience and comparative cognition" by W. Tecumseh Fitch. Physics of Life Reviews, 11(3), 375-376. DOI: 10.1016/j.plrev.2014.06.020 [details]

    2013

    • Zuidema, W. (2013). Language in Nature: on the Evolutionary Roots of a Cultural Phenomenon. In P-M. Binder, & K. Smith (Eds.), The Language Phenomenon: Human Communication from Milliseconds to Millennia (pp. 163-189). (The Frontiers Collection). Heidelberg: Springer. DOI: 10.1007/978-3-642-36086-2_8 [details]
    • Zuidema, W., & de Boer, B. (2013). Modeling in the language sciences. In R. J. Podesva, & D. Sharma (Eds.), Research methods in linguistics (pp. 422-439). Cambridge: Cambridge University Press. [details]
    • ten Cate, C. J., Lachlan, R., & Zuidema, W. H. (2013). Analyzing the structure of bird vocalizations and language: finding common ground. In Bolhuis, & Everaert (Eds.), Birdsong, Speech, And Language - Exploring the Evolution of Mind and Brain MIT Press.

    2008

    • Zuidema, W., & de Boer, B. (2008). Evolutionary explanations for natural language: criteria from evolutionary biology. (ILLC Preprint Series; No. PP-2008-54). onbekend: ILLCcap. [details]

    2006

    • Bod, R., Fitz, H., & Zuidema, W. H. (2006). On the Structural Ambiguity in Natural Language that the Neural Architecture Cannot Deal With. Behavioral and Brain Sciences, 29(1), 71-72. [details]

    2008

    • Zuidema, W. H. (2008). Empirical evidence for recursive hierarchical structure in child language. Paper presented at PsychoCompLA-2008 held in Washington D.C., as part of the 30th meeting of the Cognitive Science Society (CogSci-2008), .

    2017

    • Garrido Alhama, R. (2017). Computational modelling of Artificial Language Learning: Retention, Recognition & Recurrence [details]
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Ancillary activities
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