Publication
ACL-IJCNLP 2015
Conference paper

Dependency-based convolutional neural networks for sentence embedding

Abstract

In sentence modeling and classification, convolutional neural network approaches have recently achieved state-of-the-art re-sults, but all such efforts process word vec-tors sequentially and neglect long-distance dependencies. To combine deep learn-ing with linguistic structures, we pro-pose a dependency-based convolution ap-proach, making use of tree-based n-grams rather than surface ones, thus utlizing non-local interactions between words. Our model improves sequential baselines on all four sentiment and question classification tasks, and achieves the highest published accuracy on TREC.

Date

26 Jul 2015

Publication

ACL-IJCNLP 2015

Authors

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