Word Sense Tagging Method Based on Context
Jie Zheng · Zhongwen xinxi xuebao · 2000
This paper proposes a word sense disambiguating model,which is based on the word's semantic context.The model utilizes the knowledge dictionary that reflects the semantic concurrence information of English words.And the correlation of word semantic marks is obtained through statistical analysis of large real corpus.By evaluating each possible semantic context word,the most reasonable sense of the sense ambiguous word is selected.The experiment of this method proves an increase of 10% in precision.