Title :
Sentence Similarity Computation Based on POS and Semantic Nets
Author :
Lee, Ming Che ; Zhang, Jia Wei ; Lee, Wen Xiang ; Ye, Heng Yu
Author_Institution :
Dept. of Comput. & Commun. Eng., Ming Chuan Univ., Taoyuan, Taiwan
Abstract :
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.
Keywords :
natural language processing; semantic networks; speech processing; word processing; WordNet semantic nets; natural language processing; part-of-speech; semantic similarity word sets extraction; sentence similarity computation algorithm; Buildings; Data mining; Information analysis; Information retrieval; Matrix decomposition; Natural language processing; Natural languages; Singular value decomposition; Sparse matrices; Support vector machines;
Conference_Titel :
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5209-5
Electronic_ISBN :
978-0-7695-3769-6
DOI :
10.1109/NCM.2009.379
