Sentence Similarity Computation in Information Retrieval
Pin Wang, Guangjun Huang · Jisuanji gongcheng · 2011
【Abstract 】 】 】 】It is a difficulty problem that how to improve the recall and the accuracy ratio simultaneously on information searching. In view of this question, this paper proposes one kind of improved sentence similarity algorithm which based on the semantic interdependence degree. IT analyses the characteristics of algorithm based on semantic interdependence similarity, adds the semantic role labeling information through determining weights of the sentences effective collocation, and then weights the algorithm of keyword similarity calculation, then proves this algorithm feasibility with the example, makes re-sorting with the improve d algorithm for inquiry results, which founded on enhancing the inquiry system recall. Thus enhance the accuracy ratio of the first K returns results. Experiment proves that this algorithm improves accuracy ratio of system, the first 20 of re-sorting compared with the before of system sorti ng, to enhance 3.6 %. 【Key words 】