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Distributed representations of meaning are a natural way to encode covariance relationships between words and phrases in NLP.
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Paul Bloom · 2001
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Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms
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Combining symbolic and distributional models of meaning
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Semantic compositionality through recursive matrix-vector spaces
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Multimodal learning with deep boltzmann machines
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The Role of Syntax in Vector Space Models of Compositional Semantics
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Recurrent convolutional neural networks for discourse compositionality
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