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The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization.

, and . EMNLP, page 1155-1164. The Association for Computational Linguistics, (2015)

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Efficiently Extract Recurring Tree Fragments from Large Treebanks., , and . LREC, European Language Resources Association, (2010)Emergent Syntax: The Unremitting Value of Computational Modeling for Understanding the Origins of Complex Language.. ECAL, volume 2159 of Lecture Notes in Computer Science, page 641-644. Springer, (2001)Editors' Review and Introduction: Learning Grammatical Structures: Developmental, Cross-Species, and Computational Approaches., , , , and . Top. Cogn. Sci., 12 (3): 804-814 (2020)Cosine Contours: a Multipurpose Representation for Melodies., , and . ISMIR, page 135-142. (2021)The Inside-Outside Recursive Neural Network model for Dependency Parsing., and . EMNLP, page 729-739. ACL, (2014)Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information., , , , and . BlackboxNLP@EMNLP, page 240-248. Association for Computational Linguistics, (2018)What are the Productive Units of Natural Language Grammar? A DOP Approach to the Automatic Identification of Constructions.. CoNLL, page 29-36. ACL, (2006)A generative re-ranking model for dependency parsing., , and . IWPT, page 238-241. The Association for Computational Linguistics, (2009)Pre-Wiring and Pre-Training: What Does a Neural Network Need to Learn Truly General Identity Rules?, and . CoCo@NIPS, volume 1773 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Quantifying the Vanishing Gradient and Long Distance Dependency Problem in Recursive Neural Networks and Recursive LSTMs., and . Rep4NLP@ACL, page 87-93. Association for Computational Linguistics, (2016)