Sentence Similarity Computation Based on POS and Semantic Nets

This paper presents a novel sentence similarity computation algorithm. The proposed algorithm is based on the concepts of part-of-speech (POS) and the WordNet semantic nets. Unlike other related researches that focused only on short sentences, our algorithm is applicable to short (4-5 words), medium (8-12 words), and even long sentences (over 12 words). The experiment demonstrates that the proposed algorithm has outstanding performance in handling with long sentences with complex syntax. The significance of this research lies in the semantic similarity extracting of word sets with different part-of-speeches.