Simple Attention-Based Representation Learning for Ranking Short Social Media Posts

NAACL 2019 Peng ShiJinfeng RaoJimmy Lin

This paper explores the problem of ranking short social media posts with respect to user queries using neural networks. Instead of starting with a complex architecture, we proceed from the bottom up and examine the effectiveness of a simple, word-level Siamese architecture augmented with attention-based mechanisms for capturing semantic "soft" matches between query and post tokens... (read more)

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