End-to-end Learning for Short Text Expansion

Abstract

Effectively making sense of short texts is a critical task for many real world applications such as search engines, social media services, and recommender systems. The task is particularly challenging as a short text contains very sparse information, often too sparse for a machine learning algorithm to pick up useful signals. A common practice for analyzing… (More)
DOI: 10.1145/3097983.3098166

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