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Learning to Generate Compositional Color Descriptions.

, , and . EMNLP, page 2243-2248. The Association for Computational Linguistics, (2016)

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Fragment Grammars: Exploring Computation and Reuse in Language, , and . MIT-CSAIL-TR-2009-013. Massachusetts Institute of Technology, (2009)Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation., , and . AISTATS, volume 15 of JMLR Proceedings, page 770-778. JMLR.org, (2011)Generative Grading: Neural Approximate Parsing for Automated Student Feedback., , , , , , and . CoRR, (2019)Shaping Visual Representations with Language for Few-shot Classification., , and . ViGIL@NeurIPS, (2019)Synthesizing open worlds with constraints using locally annealed reversible jump MCMC., , , , and . ACM Trans. Graph., 31 (4): 56:1-56:11 (2012)C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching., , and . CoRR, (2015)DisSent: Sentence Representation Learning from Explicit Discourse Relations., , and . CoRR, (2017)Learning design patterns with bayesian grammar induction., , , , , and . UIST, page 63-74. ACM, (2012)The Interactions of Rational, Pragmatic Agents Lead to Efficient Language Structure and Use., , and . Top. Cogn. Sci., 12 (1): 433-445 (2020)A Rational Analysis of Rule-Based Concept Learning., , , and . Cogn. Sci., 32 (1): 108-154 (2008)