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Knowledge-Enhanced CNN for Short Texts by Matthew Feng is a document available to read on EtoBox.

What is Knowledge-Enhanced CNN for Short Texts about?

The document describes a framework that combines explicit and implicit representations of short text for text classification using convolutional neural networks. It first conceptualizes short text as relevant concepts from a knowledge base, then obtains an embedding of words and concepts. This embedding is fed into a CNN to learn from the joint representation. Experimental results on five datasets show this approach outperforms state-of-the-art methods for short text classification.

Author

Matthew Feng

Language

EN