Determine Word Sense Based on Semantic and Syntax Information
Zhang Chun-xiang, Sun Lu-Rong, Xue-Yao Gao · International Journal of Database Theory and Application · 2016
Word sense disambiguation (WSD) plays an important role in natural language processing fields.Semantic category is semantic knowledge and part-of-speech is syntax knowledge.In this paper, word window is opened to get semantic category and part-ofspeech of left and right adjacent words around an ambiguous word.A new approach of determining true meanings of ambiguous words based on support vector machine (SVM) is given.The training corpus in SemEval-2007: Task#5 is applied to optimize SVM and the optimized SVM is tested.Experimental results show that the performance of the proposed method is improved.