Abstract:

This paper presents a method for Chinese Named Entity （NE） recognition using a mixed statistical model. Our NE recognition concentrates on three types of NEs personal names, location names and organization names. This method is characterized as the following two aspects. At first, it provides a unif ied framework tO incorporate NE recognition and Part-of-Speech lagging together. Secondly, it makes use of two statistical models, taking HMM to contrain the recogni tion in the scope of a sentence, taking ME to calculate the probability of the entity in the context. Experimental results show that the m ethod can effectively recognize the above-mentioned three named entities.

Key words: named entity recognition, Hidden Markov Model （HMM）, maximum entropy model （ME）