D. Bollegala, Y. Matsuo, and M. , Ishizuka : Measuring semantic similarity between words using web search engines, Proc. of 16th WWW, pp.757-766, 2007.

M. Belkin and P. Niyogi, Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, Neural Computation, vol.15, issue.6, pp.1373-1396, 2003.
DOI : 10.1126/science.290.5500.2319

URL : http://jupiter.math.nctu.edu.tw/%7Eweng/courses/2010_topic_discrete/Spectrum/Laplacian.pdf

K. Chen and J. , You: A study on word similarity using context vector models, Computational Linguistics and Chinese Language Processing, pp.37-58, 2002.

R. Fan and . Chung, Spectral Graph Theory, Conference Board of the Mathematical Sciences, 1997.

D. Lin, An information-theoretic definition of similarity, Proc of 15th ICML, pp.296-304, 1998.

Q. Liu and S. Li, Word Similarity Computing Based on How-net, Computational Linguistics and Chinese Language Processing, pp.59-76, 2002.

G. Miller and W. Charles, Contextual correlates of semantic similarity, Language and Cognitive Processes, vol.8, issue.1, pp.1-28, 1998.
DOI : 10.1016/S0022-5371(64)80011-6

P. Resnik, Using information content to evaluate semantic similarity, Proc 14th IJCAI, pp.448-453, 1995.

R. Richardson, A. Smeaton, and J. Murphy, Using WordNet as a Knowledge Base for Measuring Semantic Similarity between Words, Working Paper CA-1294, 1994.

D. Yarowsky, Unsupervised word sense disambiguation rivalling supervised method, Proc. of the 33rd ACL, pp.189-196, 1995.
DOI : 10.3115/981658.981684