Word Sense Disambiguation Based on Perceptron Model

Zhang Chun-Xiang, Gao Xue-Yao, Lu Zhi-Mao
2016 International Journal of Database Theory and Application  
Word sense disambiguation (WSD) is an important research topic in natural language processing field, which is very useful for machine translation and information retrieval. In this paper, a linear combination model based on multiple discriminative features is proposed to determine correct sense of an ambiguous word, in which morphology and part of speech in left and right words around ambiguous word are used as features. Then, perceptron algorithm is applied to optimize the WSD model.
more » ... s show that the WSD performance is improved after the proposed method is applied.
doi:10.14257/ijdta.2016.9.5.12 fatcat:mftw6wferna2bn27jy2bhfssce