In this paper, we explore the applicability of PageRank to semantic networks, and show that such graph-based ranking algorithms can be successfully used in language processing applications.
we propose and experiment with a new unsupervised knowledge-based word sense disambiguation algorithm, which succeeds in identifying the sense of all words in open text with a precision significantly higher than other previously proposed knowledge-based algorithms.