Adaptive Multi-Compositionality for Recursive Neural Network Models


Recursive neural network models have achieved promising results in many natural language processing tasks. The main difference among these models lies in the composition function, i.e., how to obtain the vector representation for a phrase or sentence using the representations of words it contains. This paper introduces a novel Adaptive Multi… (More)
DOI: 10.1109/TASLP.2015.2509257


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