Semantic Oriented Document Clustering Using Distribution Semantics

Author:

Khan Umar Ali1,Rafi Muhammad1

Affiliation:

1. National University of and Emerging Sciences, Karachi, Pakistan

Publisher

ACM Press

Reference28 articles.

1. AlSumait, L and Domeniconi, C. Local Semantic Kernels for Text Document Clustering, In Workshop on Text Mining, SIAM International Conference on Data Mining, 2007

2. Anderka, M. and Stein, B. 2009. The esa retrieval model revisited. In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval. ACM, Boston, MA, 670--671.

3. Bruni, E., Baroni, M. and Tran, N.K Multimodal distributional semantics, Journal of Artificial Intelligence Research, 2014.

4. Castells, P., Fernandez, M., and Vallet, D. 2007. An adaptation of the vector-space model for ontology-based information retrieval. IEEE Transactions on Knowledge and Data Engineering 19, 2, 261--272.

5. Chang, M.-W., Ratinov, L., Roth, D., and Srikumar, V. 2008. Importance of semantic representation: dataless classification. In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence. AAAI Press, Chicago, IL, 830--835.

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