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DoLFIn: Distributions over Latent Features for Interpretability.

, and . COLING, page 1468-1474. International Committee on Computational Linguistics, (2020)

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The evolution of combinatorial phonology., and . J. Phonetics, 37 (2): 125-144 (2009)Multi-Agent Simulations of the Evolution of Combinatorial Phonology., and . BNAIC, page 66-73. Koninklijke Vlaamse Academie van Belie voor Wetenschappen en Kunsten, (2005)Undesirable biases in NLP: Averting a crisis of measurement., , , , , and . CoRR, (2022)Quantifying Context Mixing in Transformers., , , and . EACL, page 3370-3392. Association for Computational Linguistics, (2023)Unsupervised Methods for Head Assignments., and . EACL, page 701-709. The Association for Computer Linguistics, (2009)Blackbox Meets Blackbox: Representational Similarity & Stability Analysis of Neural Language Models and Brains., , , and . BlackboxNLP@ACL, page 191-203. Association for Computational Linguistics, (2019)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)Accurate Parsing with Compact Tree-Substitution Grammars: Double-DOP., and . EMNLP, page 84-95. ACL, (2011)Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution., and . EMNLP (Findings), page 4354-4369. Association for Computational Linguistics, (2023)Multi-Agent Simulations of the Evolution of Combinatorial Phonology., and . Adaptive Behaviour, 18 (2): 141-154 (2010)