Research On A NER Strategy In The Field Of Electronic

With rapid development of the Internet and the information industry in recent years, a large number of electronic documents appear. Thus, many important applications emerge, such as information extraction, information retrieval. In these widely used technologies, there is a common and basic question, which is named entity recognition (NER). Therefore, the Chinese named entity recognition research has great practical significance.This paper presents a strategy of named entity recognition system for the filed of electronic products through studying the methods of NER. The preliminary work of my internship program is to recognize the Named Entity in the areas of electronics products such as product brand and attributes of them. This paper will give a solution and the experimental results will be given as last. For the next step, the system can be carried out in areas such as automatic question answering system for high-level applications. This strategy is not the simple combine of rule-based method and statistic-based method, but based on the model of layer stack. It is also fully consider the features of text in the electronic field and resources in the trade-off. At last, named entity recognition system on the field of electronic products realize, nineteen kinds of NE can be recognized by the system. Comparative experiments are done to prove its system identification results, and the system achieved satisfactory results.