An Efficient Approach for Web Document Summarization by Sentence Ranking
This paper presents a summarization system that produces a summary for a given web document based on sentence importance measures. Most of the existing approaches for single document summarization provide the summary by using only the information present in the given document. And some approaches use the neighbour documents to get better document summary for the given document. In this paper, the authors propose an efficient approach for single document summarization which uses the two sentence importance measures: Frequency of the terms in the sentence and similarity to the other sentences. The sentences are ranked according to their respective scores and the sentences with top ranks are selected for summary.