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Interpretable agent communication from scratch (with a generic visual processor emerging on the side).

, , and . NeurIPS, page 26937-26949. (2021)

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Improving zero-shot learning by mitigating the hubness problem., and . ICLR (Workshop), (2015)Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2879-2888. PMLR, (2018)Multi-Agent Cooperation and the Emergence of (Natural) Language., , and . ICLR, OpenReview.net, (2017)Using Web Data for Linguistic Purposes, , and . Corpus Linguistics and the Web, Rodopi, Amsterdam, (2007)On the proper role of linguistically-oriented deep net analysis in linguistic theorizing.. CoRR, (2021)Multimodal Distributional Semantics., , and . J. Artif. Intell. Res., (2014)When the Whole Is Less Than the Sum of Its Parts: How Composition Affects PMI Values in Distributional Semantic Vectors., and . Comput. Linguistics, 42 (2): 345-350 (2016)SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment., , , , , and . Lang. Resour. Evaluation, 50 (1): 95-124 (2016)Recent advancements in human language technology in Italy., , , and . Intelligenza Artificiale, 7 (2): 91-100 (2013)Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics., , , and . ACL (1), page 1517-1526. The Association for Computer Linguistics, (2013)