Finding Instance Names and Alternative Glosses on the Web: WordNet Reloaded

  • Marius Paşca
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3406)

Abstract

This paper presents an approach to extending existing lexical resources with instance names and alternative definitions acquired from textual documents. The experiments involve WordNet and approximately 300 million Web documents, but the method is more generally applicable. We leverage formally-structured, human-validated resources, on one hand, and data-driven instance names and definitions on the other, which opens the path to new applications of the reloaded resources.

Keywords

Noun Phrase Word Sense Disambiguation Unstructured Text Lexical Concept Semantic Lexicon 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Marius Paşca
    • 1
  1. 1.Google Inc.Mountain View

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