E2E: An End-to-End Entity Linking System for Short and Noisy Text

Abstract

We present E2E, an end-to-end entity linking system that is designed for short and noisy text found in microblogs and text messages. Mining and extracting entities from short text is an essential step for many content analysis applica-tions. By jointly optimizing entity recognition and disam-biguation as a single task, our system can process short and noisy text robustly.