Random-Walk Models of Term Semantics: {An} Application to Opinion-Related Properties

@inproceedings{Esuli2007RandomWalkMO,
  title={Random-Walk Models of Term Semantics: \{An\} Application to Opinion-Related Properties},
  author={Andrea Esuli and Fabrizio Sebastiani},
  year={2007}
}
It has recently been proposed that term senses can be automatically ranked by how strongly they possess a given opinion-related property, by applying PageRank, the well known random-walk algorithm lying at the basis of the Google search engine, to a graph in which nodes are represented by eXtended WordNet synsets and links are represented by the binary relation si I sk (“the gloss of synset si contains a term belonging to synset sk”). In other words, these properties are seen as “flowing… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 12 CITATIONS

Similar Papers

Loading similar papers…