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<Paper uid="W04-2710">
  <Title>Annotating WordNet</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> High-quality lexical resources are needed to both train and evaluate Word Sense Disambiguation (WSD) systems. The problem of ambiguity persists even in limited domains, thus the necessity for wide-coverage inventories of senses (dictionaries) and corpora sense-tagged to them. WordNet (Miller et al., 1990; Fellbaum, ed., 1998) has been used extensively for WSD, both for its broad coverage and its large network of semantic relations. Entries in WordNet have, until now, been organized primarily around the semantic relations of synonymy, antonymy, hyponymy/troponymy, meronymy, and a few others which hold mainly among lexicalized concepts and word forms of the same grammatical class.1 The noun and verb networks have been predominantly hierarchi- null jectives derivationally related to nouns or verbs (conceptual is related to concept and conceptuality, irritated to irritate), and links between adverbs and the adjectives from which they derive (absolutely is related to WordNet sense 1 of absolute). cal, and the definitional glosses and illustrative sentences have not participated in the network of relations at all.</Paragraph>
    <Paragraph position="1"> This paper reports on a project currently underway to sense-tag the glosses. Sense-tagging is the process of linking an instance of a word to the WordNet synset representing its context-appropriate meaning. Monosemous words2 in the glosses can be tagged automatically, but in order to be truly reliable, the sense-tagging of polysemous words3 must be done manually. This approach is in significant contrast with the work done at The University of Texas at Dallas on Extended WordNet4, in which polysemous words in the WordNet glosses were sense-tagged primarily by automatic means. The result of the project described here will be to increase connectivity and make possible the association of words with related concepts that cut across grammatical class and hierarchy, providing a more integrated lexical resource.</Paragraph>
  </Section>
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