A tool for automatic question generation for teaching english to beginner students
Resumen:
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.
2021 | |
Agencia Nacional de Investigación e Innovación. Proyecto FSED_2_2020_1_163587. | |
NLP for Language Teaching Automatic Question Generation Computer Assisted Language Learning |
|
Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/37157 | |
Acceso abierto | |
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
_version_ | 1807522945900216320 |
---|---|
author | Morón, Martín |
author2 | Scocozza, Joaquín Chiruzzo, Luis Rosá, Aiala |
author2_role | author author author |
author_facet | Morón, Martín Scocozza, Joaquín Chiruzzo, Luis Rosá, Aiala |
author_role | author |
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collection | COLIBRI |
dc.contributor.filiacion.none.fl_str_mv | Morón Martín Scocozza Joaquín Chiruzzo Luis Rosá Aiala |
dc.creator.none.fl_str_mv | Morón, Martín Scocozza, Joaquín Chiruzzo, Luis Rosá, Aiala |
dc.date.accessioned.none.fl_str_mv | 2023-05-16T16:27:28Z |
dc.date.available.none.fl_str_mv | 2023-05-16T16:27:28Z |
dc.date.issued.none.fl_str_mv | 2021 |
dc.description.abstract.none.fl_txt_mv | 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. |
dc.description.es.fl_txt_mv | 2021 40th International Conference of the Chilean Computer Science Society (SCCC), 15-19 November 2021, La Serena, Chile. |
dc.description.sponsorship.none.fl_txt_mv | Agencia Nacional de Investigación e Innovación. Proyecto FSED_2_2020_1_163587. |
dc.format.extent.es.fl_str_mv | 5 p. |
dc.format.mimetype.es.fl_str_mv | application/pdf |
dc.identifier.citation.es.fl_str_mv | 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. |
dc.identifier.doi.none.fl_str_mv | 10.1109/SCCC54552.2021.9650423 |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/37157 |
dc.language.iso.none.fl_str_mv | en eng |
dc.publisher.es.fl_str_mv | IEEE |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.es.fl_str_mv | NLP for Language Teaching Automatic Question Generation Computer Assisted Language Learning |
dc.title.none.fl_str_mv | A tool for automatic question generation for teaching english to beginner students |
dc.type.es.fl_str_mv | Ponencia |
dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | 2021 40th International Conference of the Chilean Computer Science Society (SCCC), 15-19 November 2021, La Serena, Chile. |
eu_rights_str_mv | openAccess |
format | conferenceObject |
id | COLIBRI_30436bed0730258bd554448a74a3adf6 |
identifier_str_mv | 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. 10.1109/SCCC54552.2021.9650423 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/37157 |
publishDate | 2021 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
spelling | Morón MartínScocozza JoaquínChiruzzo LuisRosá Aiala2023-05-16T16:27:28Z2023-05-16T16:27:28Z2021Morón, 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.https://hdl.handle.net/20.500.12008/3715710.1109/SCCC54552.2021.96504232021 40th International Conference of the Chilean Computer Science Society (SCCC), 15-19 November 2021, La Serena, Chile.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.Submitted by Machado Jimena (jmachado@fing.edu.uy) on 2023-05-16T15:59:23Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) MSCR21.pdf: 358077 bytes, checksum: 2e52e41e1353648501a3d558cb5ef384 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2023-05-16T16:26:27Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) MSCR21.pdf: 358077 bytes, checksum: 2e52e41e1353648501a3d558cb5ef384 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2023-05-16T16:27:28Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) MSCR21.pdf: 358077 bytes, checksum: 2e52e41e1353648501a3d558cb5ef384 (MD5) Previous issue date: 2021Agencia Nacional de Investigación e Innovación. Proyecto FSED_2_2020_1_163587.5 p.application/pdfenengIEEELas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse |
spellingShingle | A tool for automatic question generation for teaching english to beginner students Morón, Martín NLP for Language Teaching Automatic Question Generation Computer Assisted Language Learning |
status_str | publishedVersion |
title | A tool for automatic question generation for teaching english to beginner students |
title_full | A tool for automatic question generation for teaching english to beginner students |
title_fullStr | A tool for automatic question generation for teaching english to beginner students |
title_full_unstemmed | A tool for automatic question generation for teaching english to beginner students |
title_short | A tool for automatic question generation for teaching english to beginner students |
title_sort | A tool for automatic question generation for teaching english to beginner students |
topic | NLP for Language Teaching Automatic Question Generation Computer Assisted Language Learning |
url | https://hdl.handle.net/20.500.12008/37157 |