Abstract
This paper presented a novel word co-occurrence model, which was based on an ontology representation of word sense. In this study, word sense ontology is firstly constructed by context multi-elements, and then, the usage of word co-occurrence in content was gotten in using part of speech, semantic, location, average co-occurrence transition probabilities, and was expressed as word co-occurrence feature; final, word cohesion is calculated to judge the co-occurrence degree by the same co-occurrence feature. The relation experiments in natural language processing acquire better results.
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Zheng, D., Zhao, T., Li, S., Yu, H. (2007). Research on a Novel Word Co-occurrence Model and Its Application. In: Zhang, Z., Siekmann, J. (eds) Knowledge Science, Engineering and Management. KSEM 2007. Lecture Notes in Computer Science(), vol 4798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76719-0_43
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DOI: https://doi.org/10.1007/978-3-540-76719-0_43
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