Simple yet effective method for entity linking in Microblog-Genre text

Abstract

Semantic analysis microblog data is a challenging, emerging research area. Unlike news text, microblogs pose several new challenges, due to their short, noisy, contextualized and real-time nature. In this paper, we investigate how to link entities in microblog posts with knowledge base and adopt a cascade linking approach. In particular, we first use a mention expansion model to identify all possible entities in the knowledge base for a mention based on a variety of sources. Then we link the mentions with the corresponding entities in the knowledge base by collectively considering lexical matching, popularity probability and textual similarity. © Springer-Verlag Berlin Heidelberg 2013.