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Compositional matrix-space models of language: Definitions, properties, and learning methods

, , and . Natural Language Engineering, (August 2021)
DOI: 10.1017/S1351324921000206

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Compositional matrix-space models of language: Definitions, properties, and learning methods, , and . Natural Language Engineering, (August 2021)Compositional Matrix-Space Models: Learning Methods and Evaluation.. Dresden University of Technology, Germany, (2020)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). Trans. Mach. Learn. Res., (2023)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). CoRR, (2022)TQOR: Trust-based QoS-oriented routing in cognitive MANETs., , , and . NCA, page 53-60. IEEE Computer Society, (2017)Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering., , , , , and . CoRR, (2024)Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition., , and . NAACL-HLT (1), page 505-516. Association for Computational Linguistics, (2019)Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains., , and . ConvAI@ACL, page 108-119. Association for Computational Linguistics, (2022)