Abstract：A topic sentence extraction method for news text is proposed. Firstly, the location feature is derived from the distribution of news topic sentence in the text. Then, the overlap ratio between a sentence and the title calculated owing to the interrelation of the news title with the theme. To best estimate the relevancy between the title and the candidate topic sentence, a maximum matching based on weighted bipartite graph is applied. Finally, the topic sentence is selected according to the sentence rank score. The experimental results show that the proposed method reaches 75.9% in P@1, and 92.4% in P@3.
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2017, Vol. 31 
