A novel text subject extraction method

作者：Ma, YH^*; Su, GY; Li, JH; Li, SH

来源：International Conference on Natural Language Processing and Knowledge Engineering, China,Beijing, 2003-10-26 to 2003-10-29.

DOI：10.1109/NLPKE.2003.1275995

• contextual co-occurrence
• subject extraction
• text processing introduction

Word segmentation or word extraction is always the first step of subject extraction. For no intervals between words, word segmentation of Chinese text is rather complicated. In this paper, a novel text subject extraction method based on contextual co-occurrence is put forwards, and an approach of extracting subject sentence from Chinese text using character contextual co-occurrence data is described. The new approach has fast speed and can skip the segmentation. It also can be applied in multi-style text. The result of three experiments shows that the approach gains high accuracy in multi-style text, 77.19% in news text. Comparative experiment shows that there was no losing in accuracy.

• 出版日期2003
• 单位上海交通大学