Chinese Named Entity Recognition: Applications and Challenges

Abstract

Chinese Named Entity Recognition (NER) is an important task in Chinese natural language processing, which has been widely used in automatic question answering, reading comprehension, knowledge graph, machine translation and other fields. With the development of natural language processing techniques and the enhancement of text mining, the acquisition of semantic knowledge in text area becomes very important, and named entity recognition is the foundation of information application technology such as relationship extraction, which has important significance. In this chapter, we first provide a comprehensive review of traditional approaches. Then, we present the differences of between Chinese NER and NER, and describe the details of its application. We also introduce the challenge of Chinese entity recognition. Last, we compare recent works, give a vision about future work and propose the application in the Multi-dimensional Data Association and inTelligent Analysis (MDATA) model.