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Permutation Equivariant Models for Compositional Generalization in Language., , , и . ICLR, OpenReview.net, (2020)Spicy Adjectives and Nominal Donkeys: Capturing Semantic Deviance Using Compositionality in Distributional Spaces., , , и . Cogn. Sci., 41 (1): 102-136 (2017)Combining Language and Vision with a Multimodal Skip-gram Model., , и . HLT-NAACL, стр. 153-163. The Association for Computational Linguistics, (2015)Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis., , и . VL@EMNLP, стр. 81-86. Association for Computational Linguistics, (2015)Distributional semantics with eyes: using image analysis to improve computational representations of word meaning., , , и . ACM Multimedia, стр. 1219-1228. ACM, (2012)Cross-Domain Image Captioning with Discriminative Finetuning., , , , , и . CVPR, стр. 6935-6944. IEEE, (2023)EEG responds to conceptual stimuli and corpus semantics., , и . EMNLP, стр. 619-627. ACL, (2009)How agents see things: On visual representations in an emergent language game., и . EMNLP, стр. 981-985. Association for Computational Linguistics, (2018)Distributional vectors encode referential attributes., , , и . EMNLP, стр. 12-21. The Association for Computational Linguistics, (2015)Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts., , , , и . EMNLP, стр. 1960-1970. ACL, (2013)