@inproceedings{17e62da68d024885ab369652984ce824,
title = "Unsupervised word sense disambiguation using neighborhood knowledge",
abstract = "Usually ambiguous words contained in article appear several times. Almost all existing methods for unsupervised word sense disambiguation make use of information contained only in ambiguous sentence. This paper presents a novel approach by considering neighborhood knowledge. The approach can naturally make full use of the within-sentence relationship from the ambiguous sentence and cross-sentence relationship from the neighborhood knowledge. Experimental results indicate the proposed method can significantly outperform the baseline method.",
keywords = "Graphbased ranking algorithm, Neighborhood knowledge, Similarity measure, Unsupervised WSD",
author = "Huang Heyan and Yang Zhizhuo and Jian Ping",
year = "2011",
language = "English",
isbn = "9784905166023",
series = "PACLIC 25 - Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation",
publisher = "Institute for Digital Enhancement of Cognitive Development, Waseda University.",
pages = "333--342",
booktitle = "PACLIC 25 - Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation",
note = "25th Pacific Asia Conference on Language, Information and Computation, PACLIC 2011 ; Conference date: 16-12-2011 Through 18-12-2011",
}