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Results: 106
Number of items: 106
  • Open Access
    Le, P., & Zuidema, W. (2016). Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs. In P. Blunsom, K. Cho, S. Cohen, E. Grefenstette, K. M. Hermann, L. Rimell, J. Weston, & S. W. Yih (Eds.), The 54th Annual Meeting of the Association for Computational Linguistics. Proceedings of the 1st Workshop on Representation Learning for NLP: ACL 2016 : August 11th, 2016, Berlin, Germany (pp. 87-93). The Association for Computational Linguistics. https://doi.org/10.18653/v1/W16-1610
  • 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). The Association for Computational Linguistics. https://aclweb.org/anthology/D/D15/D15-1137.pdf
  • 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). The Association for Computational Linguistics. http://aclweb.org/anthology/N/N15/N15-1067.pdf
  • 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), Article 20140095. https://doi.org/10.1098/rstb.2014.0095
  • 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), Article 20140097. https://doi.org/10.1098/rstb.2014.0097
  • Open Access
    Alhama, R. G., Scha, R., & Zuidema, W. (2015). How should we evaluate models of segmentation in artificial language learning? In N. A. Taatgen, M. K. van Vugt, J. P. Borst, & K. Mehlhorn (Eds.), Proceedings of ICCM 2015: 13th International Conference on Cognitive Modeling : April 9-11, Groningen, The Netherlands (pp. 172-173). University of Groningen. http://www.cognitive-modeling.com/proceedings/ICCM2015_proceedings.pdf
  • Open Access
    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. http://aclweb.org/anthology/S/S15/S15-1002.pdf
  • 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). Association for Computational Linguistics. http://www.aclweb.org/anthology/D/D14/D14-1081.pdf
  • 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. https://doi.org/10.1016/j.plrev.2014.06.020
  • Open Access
    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). World Scientific. https://doi.org/10.1142/9789814603638_0049
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