Supervised learning algorithms applied to terminology extraction

Rogelio Nazar, Maria Teresa Cabré

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

7 Citas (Scopus)

Resumen

In this paper we present a new terminology extraction system based on supervised statistical learning algorithms, which are characterized by having a training phase with a controlled exposure to both positive and negative examples prior to the actual categorization. Contrary to the vast majority of the term extractors reported in the literature, our proposal is based on implicit knowledge rather than handcrafted explicit rules. Given a list of terms from some domain and language plus a general language reference corpus, we developed a methodology for terminology extraction and implemented it as a web application that is already available online. This tool is flexible enough to operate in different languages and domains and, as a sort of lifelong learning algorithm, it turns terminology extraction into a collaborative effort, where all users benefit from the training conducted by each individual.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 10th Terminology and Knowledge Engineering Conference
Subtítulo de la publicación alojadaNew Frontiers in the Constructive Symbiosis of Terminology and Knowledge Engineering, TKE 2012
Páginas209-217
Número de páginas9
EstadoPublicada - 2012
Publicado de forma externa
Evento10th Terminology and Knowledge Engineering Conference: New Frontiers in the Constructive Symbiosis of Terminology and Knowledge Engineering, TKE 2012 - Madrid, Espana
Duración: 19 jun. 201222 jun. 2012

Serie de la publicación

NombreProceedings of the 10th Terminology and Knowledge Engineering Conference: New Frontiers in the Constructive Symbiosis of Terminology and Knowledge Engineering, TKE 2012

Conferencia

Conferencia10th Terminology and Knowledge Engineering Conference: New Frontiers in the Constructive Symbiosis of Terminology and Knowledge Engineering, TKE 2012
País/TerritorioEspana
CiudadMadrid
Período19/06/1222/06/12

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