Research Area:  Machine Learning

Abstract:

Named Entity Recognition is the research foundation of many Natural Language Processing sub-tasks. Named Entity Recognition for Chinese social media is to identify entity nouns such as person names, place names, and organization names in Chinese Social Media corpus. Due to the non-standardization of Chinese Social Media texts and the small size of the corpus, the accuracy of entity recognition will be affected. In this review, aiming at the above issues, we first introduce the historical development and research background of Chinese named entity recognition. Then, we investigate the latest improvement methods of Chinese named entity recognition for social media, and divide these improvement methods into methods to improve model recognition performance with external knowledge and methods to enhance internal knowledge to improve model performance. Finally, we summarize the challenges Chinese named entity recognition in social media based on deep learning, and propose the future development direction for these challenges.

Keywords:  
Deep Learning
Named Entity Recognition
Chinese Social Media

Author(s) Name:  Jingxin Liu, Jieren Cheng, Ziyan Wang, Congqiang Lou, Chenli Shen & Victor S. Sheng

Publisher name:  Sptinger

DOI:  10.1007/978-3-031-06794-5_46

Volume Information:  

Paper Link:   https://link.springer.com/chapter/10.1007/978-3-031-06794-5_46