关键词: 标题生成, 显著性事件, 多语句压缩, 互增强原则

Abstract: In the headline generation task, previous methods always take sentence or phrase as the basic processing unit, and exploit single sentence compression or sentence synthesis technology to generate the headline. Unfortunately, the final outputs of these methods either discard some important information because of the sparseness of sentence, or have poor readability due to the lack of grammatical constraints to phrase synthesis. This paper proposes a method on headline generation integrating salient event information. The method firstly learns salient events through mutual reinforcement principle and selects candidate sentence with the guidance of these events. Then it constructs a word graph with these candidate sentences and designs a novel ranking strategy which takes the salience, fluency and coverage of path into account comprehensively to search the final headline. Experimental results on the benchmark dataset demonstrate the proposed model achieves better performance compared to the state-of-the-art systems.

Key words: headline generation, salient event, multi-sentence compression, mutual reinforcement principle