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Título del libro: Proceedings Of The 8th International Conference On Language Resources And Evaluation, Lrec 2012
Título del capítulo: Using wikipedia to validate the terminology found in a corpus of basic textbooks

Autores UNAM:
GERARDO EUGENIO SIERRA MARTINEZ;
Autores externos:

Idioma:
Inglés
Año de publicación:
2012
Palabras clave:

Natural language processing systems; Semantics; Textbooks; Automatic term recognition; Automatic term recognition system; Corpus; Machine translation systems; Precision and recall; Public knowledge; Semantic knowledge; Wikipedia; Terminology


Resumen:

A scientific vocabulary is a set of terms that designate scientific concepts. This set of lexical units can be used in several applications ranging from the development of terminological dictionaries and machine translation systems to the development of lexical databases and beyond. Even though automatic term recognition systems exist since the 80s, this process is still mainly done by hand, since it generally yields more accurate results, although not in less time and at a higher cost. Some of the reasons for this are the fairly low precision and recall results obtained, the domain dependence of existing tools and the lack of available semantic knowledge needed to validate these results. In this paper we present a method that uses Wikipedia as a semantic knowledge resource, to validate term candidates from a set of scientific text books used in the last three years of high school for mathematics, health education and ecology. The proposed method may be applied to any domain or language (assuming there is a minimal coverage by Wikipedia).


Entidades citadas de la UNAM: