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Poster
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Thu 9:00
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RNNs implicitly implement tensor-product representations
Tom McCoy · Tal Linzen · Ewan Dunbar · Paul Smolensky
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Poster
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Thu 9:00
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textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR
Pankaj Gupta · Yatin Chaudhary · Florian Buettner · Hinrich Schuetze
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Poster
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Thu 14:30
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Measuring Compositionality in Representation Learning
Jacob Andreas
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Poster
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Thu 9:00
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CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
Florian Mai · Lukas Galke · Ansgar Scherp
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Poster
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Wed 9:00
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Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang · Abhishek Gupta · Sergey Levine · Thomas L Griffiths
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Poster
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Thu 9:00
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Understanding Composition of Word Embeddings via Tensor Decomposition
Abraham Frandsen · Rong Ge
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Poster
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Thu 9:00
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Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
Vitalii Zhelezniak · Aleksandar D Savkov · April Shen · Francesco Moramarco · Jack Flann · Nils Hammerla
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