Automatic Expansion of Domain-Specific Lexicons by Term Categorization (Rapporti tecnici, manuali, carte geologiche e tematiche e prodotti multimediali)

Type
Label
  • Automatic Expansion of Domain-Specific Lexicons by Term Categorization (Rapporti tecnici, manuali, carte geologiche e tematiche e prodotti multimediali) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Alternative label
  • Avancini H.; Lavelli A.; Sebastiani F.; Zanoli R. (2004)
    Automatic Expansion of Domain-Specific Lexicons by Term Categorization
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Avancini H.; Lavelli A.; Sebastiani F.; Zanoli R. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Technical report (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • ABSTRACT: 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 and machine learning. Specifically, we view the expansion of such lexicons as a process of learning previously unknown associations between terms and domains (i.e. disciplines, or fields of activity). The process generates, for each c_i in a set C={c_1,..,c_m} of domains, a lexicon L, _1, bootstrapping from an initial lexicon L, _0 and a set of documents T given as input. The method is inspired by text categorization, the discipline concerned with labeling natural language texts with labels from a predefined set of domains, or categories. However, while text categorization 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 labeled with domains. As a learning device we adopt a boosting-based method, since boosting (a) has demonstrated state-of-the-art effectiveness in a variety of text categorization applications, and (b) naturally allows for a form of 'data cleaning', thereby making the process of generating a lexicon an iteration of generate-and-test steps. We present the results of a number of experiments using a set of domain-specific lexicons called WordNetDomains (which actually consists of an extension of WordNet), and performed using the documents in the Reuters Corpus Volume 1 as 'implicit' representations for our terms. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#supporto
  • Altro (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ISTI-CNR (literal)
Titolo
  • Automatic Expansion of Domain-Specific Lexicons by Term Categorization (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Insieme di parole chiave di
data.CNR.it