关键词: 信息自动抽取, 决策树, 词性分析, n_grams方法

Abstract: In order to realize automatic keyphrases extraction from scientific articles. This paper proposes a method that utilize a supervised machine learning method. In order to define the potential terms, This paper combine the n_grams method and part of speech (POS) method. We consider four features to represent terms, including term frequency, relative position of the first occurrence, relative position of the sentence and the number of tokens in a term. Experimental results show that this method performs perfect and is a general method to any field.

Key words: information retrieval, decision tree, part of speech, n_grams method