Removing Noisy Mentions for Distant Supervision

  1. Intxaurrondo, Ander
  2. Surdeanu, Mihai
  3. López de Lacalle Lecuona, Oier
  4. Agirre Bengoa, Eneko
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Año de publicación: 2013

Número: 51

Páginas: 41-48

Tipo: Artículo

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Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

Los metodos para Extraccion de Informacion basados en la Supervision a Distancia se basan en usar tuplas correctas para adquirir menciones de esas tuplas, y as entrenar un sistema tradicional de extraccion de informacion supervisado. En este artculo analizamos las fuentes de ruido en las menciones, y exploramos metodos sencillos para ltrar menciones ruidosas. Los resultados demuestran que combinando el ltrado de tuplas por frecuencia, la informacion mutua y la eliminacion de men- ciones lejos de los centroides de sus respectivas etiquetas mejora los resultados de dos modelos de extraccion de informacion signi cativamente.

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Fuente de los datos: Dialnet