Pattern-based Word Sketches for the Extraction of Semantic Relations

نویسندگان

  • Pilar León-Araúz
  • Antonio San Martín
  • Pamela Faber
چکیده

Despite advances in computer technology, terminologists still tend to rely on manual work to extract all the semantic information that they need for the description of specialized concepts. In this paper we propose the creation of new word sketches in Sketch Engine for the extraction of semantic relations. Following a pattern-based approach, new sketch grammars are developed in order to extract some of the most common semantic relations used in the field of terminology: generic-specific, part-whole, location, cause and function.

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تاریخ انتشار 2016