Unsupervised approach to word sense disambiguation based on vector space model
Xiaobo Zhang · Jisuanji gongcheng yu sheji · 2007
Word sense disambiguation is a key problem in natural language processing because the result of WSD affects seriously many problems in natural language processing.Most of word sense disambiguation are based on the segment of words.An unsupervised ap-proach based on term extraction instead of segment of words is presented.The method of tf.idf.if is adapted in calculating the matrix of word sense.The result of average accuracy 84.52 % is gotten in the experiments on 8 ambiguous words,so the method has high value in research.