Memorias de investigación
Ponencias en congresos:
RevUP: Automatic Gap-Fill Question Generation from Educational Texts
Año:2015
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
This paper describes RevUP which deals with automatically generating gap-fill questions. RevUP consists of 3 parts: Sentence Selection, Gap Selection & Multiple Choice Distractor Selection. To select topicallyimportant sentences from texts, we propose a novel sentence ranking method based on topic distributions obtained from topic models. To select gap-phrases from each selected sentence, we collected human annotations, using the Amazon Mechanical Turk, on the relative relevance of candidate gaps. This data is used to train a discriminative classifier to predict the relevance of gaps, achieving an accuracy of 81.0%. Finally, we propose a novel method to choose distractors that are semantically similar to the gap-phrase and have contextual fit to the gap-fill question. By crowdsourcing the evaluation of our method through the Amazon Mechanical Turk, we found that 94% of the distractors selected were good. RevUP fills the semantic gap left open by previous work in this area, and represents a significant step towards automatically generating quality tests for teachers and self-motivated learners.
Internacional
Si
Nombre congreso
The 10th Workshop on Innovative Use of NLP for Building Educational Applications. NAACL 2015 Workshops
Tipo de participación
960
Lugar del congreso
Denver, Colorado, USA
Revisores
Si
ISBN o ISSN
978-1-941643-35-8
DOI
Fecha inicio congreso
04/06/2015
Fecha fin congreso
04/06/2015
Desde la página
154
Hasta la página
161
Título de las actas
Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Girish Kumar NUS High School of Math and Science - Singapore
  • Autor: Rafael E. Banchs Institute for Infocomm Research Singapore
  • Autor: Luis Fernando D'Haro Enriquez UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica