english Icono del idioma   español Icono del idioma  

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12008/37157 How to cite
Title: A tool for automatic question generation for teaching english to beginner students
Authors: Morón, Martín
Scocozza, Joaquín
Chiruzzo, Luis
Rosá, Aiala
Type: Ponencia
Keywords: NLP for Language Teaching, Automatic Question Generation, Computer Assisted Language Learning
Issue Date: 2021
Abstract: We present a tool for the automatic generation of questions from texts for ESL teaching, using resources and methods from the Natural Language Processing (NLP) field. The approach presented in this paper is based on symbolic methods, using hand-crafted rules. The tool uses linguistic information, such as semantic roles, co-references and named entities, to generate questions and answers from a text selected by a teacher. The generated questions are ranked in order to offer the teacher a varied set to create an exercise. All the elements can be edited in case any error is produced, since NLP tools and methods are not completely accurate. When solving an exercise, the students are given immediate feedback based on the expected answers. A primary evaluation showed promising results, especially for “what” and “who” questions.
Description: 2021 40th International Conference of the Chilean Computer Science Society (SCCC), 15-19 November 2021, La Serena, Chile.
Publisher: IEEE
Sponsors: Agencia Nacional de Investigación e Innovación. Proyecto FSED_2_2020_1_163587.
DOI: 10.1109/SCCC54552.2021.9650423
Citation: Morón, M., Scocozza, J., Chiruzzo, L. y otros. A tool for automatic question generation for teaching english to beginner students [en línea] EN : 2021 40th International Conference of the Chilean Computer Science Society (SCCC), 15-19 November 2021, La Serena, Chile, 5 p. DOI: 10.1109/SCCC54552.2021.9650423.
License: Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Appears in Collections:Reportes Técnicos - Instituto de Computación

Files in This Item:
File Description SizeFormat  
MSCR21.pdfPonencia349,68 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons