Query-Focused Multi-document Summarization Using Keyword Extraction

This paper proposes a strategy of the summary sentence selection for query-focused multi-document summarization through extracting keywords from relevant document set. It calculates the query related feature and the topic related feature for every word in relevant document set, then obtains the importance of the word by combining the two features. The score of candidate sentence is computed through the importance of words which they contains, and the modified MMR technology is used to adjust the score of the candidate sentence, then the candidate sentence with the highest score is selected as the summary sentence, till the length of the summary is enough. Experimental result shows that our method performs very well in DUC 2005 corpus and DUC 2006 corpus.