Using Context Inference to Improve Sentence Ordering for Multi-document Summarization
نویسندگان
چکیده
In this paper, we propose a novel context inference-based approach for sentences ordering in mult i-document summarization application. Our method first detects whether or not two summarizat ion sentences should be adjacent according to the similarity between one summarizat ion sentence and the context of the other one, and then it computes the reliability of the adjacent summarization sentences based on the similarity and their relative position. To be specific, the first sentence will be selected according to features of sentence, and the second sentence will be selected if and only if it has the maximum reliability with previous sentence. Evaluation result shows that our method outperforms the state-of-the-art ones on DUC2004 corpus.
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