Sentence Similarity based on Relevance
Feng Jin, Yiming Zhou, Trevor Martin · 2008
The issue about sentence similarity is essential to many areas of arti-ficial intelligence. Although there are related studies on determining text similarity, fewer publications are about the similarity between short texts especially about the simi-larity between sentence pairs. In this paper, a novel method is proposed to estimate the sentence similarity with consideration of direct relevance and indirect relevance between sentence pairs. Analysis of experiment pro-vides insights into the strengths and weakness of our proposed method.