Research on Named Entity Recognition for Information Extraction

Abstract

In natural language processing, named entity recognition, as a basic task used in natural language processing, aims at identifying entities with specific meaning in the text, mainly including personal names, place names, institutional names, proper nouns, etc. Named entity recognition technology is an indispensable part of many natural language processing methods, such as information extraction, information retrieval, machine translation and question answering systems. This paper first briefly introduces the developing process of named entity recognition, and describes the basic concept, objectives and difficulties of named entity recognition. Then, it summarizes the methods of named entity recognition from based on rules and dictionary method, based on statistical method, to the deep learning method and migration of learning, and looks forward to the future development of named entity recognition.