Research on a novel word co-occurrence model and its application

Authors:
Dequan Zheng;Tiejun Zhao;Sheng Li;Hao Yu
Affiliations:
MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin;MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin;MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin;MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Harbin
Venue:
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Year:
2007

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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 cooccurrence degree by the same co-occurrence feature. The relation experiments in natural language processing acquire better results.