Question-focused Summarization Based on Semantic Relational Triple
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This paper proposes a new question-focused summarization method based on Semantic Relational Triple(SRT). After syntax parsing, it abstracts the semantic relational triple both from sentences and questions, and calculates the similarity of triples by using search engine. The similarities of sentences and questions are calculated to form the final question-focused summarization. Experiments on authoritative corpus show that this feature outperforms classical features and its ROUGE-4 score rises by 46.4%. The system using the single feature ranks 10/32 in a global evaluation.