Expanding Domain-Specific Lexicons by Term Categorization (Contributo in atti di convegno)

Type
Label
  • Expanding Domain-Specific Lexicons by Term Categorization (Contributo in atti di convegno) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Alternative label
  • Avancini H. 1, Lavelli A. 2, Magnini B. 3, Sebastiani F. 4, Zanoli R. 5 (2003)
    Expanding Domain-Specific Lexicons by Term Categorization
    in SAC-03, 18th ACM Symposium on Applied Computing, Melbourne, US
    (literal)
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  • Avancini H. 1, Lavelli A. 2, Magnini B. 3, Sebastiani F. 4, Zanoli R. 5 (literal)
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  • Lavoro con più di 20 citazioni all'ultima valutazione. (literal)
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  • We discuss an approach to the automatic expansion of domain-specific lexicons by means of term categorization, a novel task employing techniques from information retrieval (IR) and machine learning (ML). Specifically, we view the expansion of such lexicons as a process of learning previously unknown associations between terms and domains. The process generates, for each ci in a set C={c1,...,cm} of domains, a lexicon Li1, bootstrapping from an initial lexicon Li0 and a set of documents theta given as input. The method is inspired by text categorization (TC), the discipline concerned with labelling natural language texts with labels from a predefined set of domains, or categories. However, while TC deals with documents represented as vectors in a space of terms, we formulate the task of term categorization as one in which terms are (dually) represented as vectors in a space of documents, and in which terms (instead of documents) are labelled with domains. (literal)
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  • 1 e 4 CNR-ISTI, 2 3 e 5 ITC-IRST (literal)
Titolo
  • Expanding Domain-Specific Lexicons by Term Categorization (literal)
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