关键词: 命名实体识别, 机械领域, 逻辑回归, 紧密相邻

Abstract: Named entity recognition has wide applications in the area of natural language processing, but the common methods cannot accurately identify the proper nouns in manufacture area. In order to solve the named entity recognition for mechanical design and manufacturing area, this paper proposes a new machine learning based method. It carefully finds some statistical features, and then uses the logistic regression algorithm to calculate the tightness between two adjacent strings. The proposed method can recognize proper nouns more accurately and efficiently for mechanical design and manufacturing area.

Key words: named entity recognition, mechanical design, logistic regression, tightness