Evaluation of a refinement algorithm for the generation of referring expressions
- Autores
- Altamirano, Ivana Romina; Benotti, Luciana
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this paper we describe and evaluate an algorithm for generating referring expressions that uses linear regression for learning the probability of using certain properties to describe an object in a given scene. The algorithm we present is an extension of a refinement algorithm modified to take probabilities learnt from corpora into account. As a result, the algorithm is able not only to generate correct referring expressions that uniquely identify the referents but it also generates referring expressions that are considered equal or better than those generated by humans in 92% of the cases by a human judge. We classify and give examples of the referring expressions that humans prefer, and indicate the potential impact of our work for theories of the egocentric use of language.
Fil: Altamirano, Ivana Romina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Benotti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Física; Argentina - Materia
-
Evaluation
Machine Learning
Refinement Algorithms
Referring Expressions
Human Judge - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/80139
Ver los metadatos del registro completo
| id |
CONICETDig_efcaad56db3db4d365618b07cabdf4b4 |
|---|---|
| oai_identifier_str |
oai:ri.conicet.gov.ar:11336/80139 |
| network_acronym_str |
CONICETDig |
| repository_id_str |
3498 |
| network_name_str |
CONICET Digital (CONICET) |
| spelling |
Evaluation of a refinement algorithm for the generation of referring expressionsAltamirano, Ivana RominaBenotti, LucianaEvaluationMachine LearningRefinement AlgorithmsReferring ExpressionsHuman Judgehttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In this paper we describe and evaluate an algorithm for generating referring expressions that uses linear regression for learning the probability of using certain properties to describe an object in a given scene. The algorithm we present is an extension of a refinement algorithm modified to take probabilities learnt from corpora into account. As a result, the algorithm is able not only to generate correct referring expressions that uniquely identify the referents but it also generates referring expressions that are considered equal or better than those generated by humans in 92% of the cases by a human judge. We classify and give examples of the referring expressions that humans prefer, and indicate the potential impact of our work for theories of the egocentric use of language.Fil: Altamirano, Ivana Romina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Benotti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Física; ArgentinaSpringer2013-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/80139Altamirano, Ivana Romina; Benotti, Luciana; Evaluation of a refinement algorithm for the generation of referring expressions; Springer; Lecture Notes in Computer Science; 8175 LNAI; 10-2013; 31-440302-9743CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/chapter/10.1007%2F978-3-642-40972-1_3info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-40972-1_3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-06T13:18:51Zoai:ri.conicet.gov.ar:11336/80139instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-02-06 13:18:51.539CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Evaluation of a refinement algorithm for the generation of referring expressions |
| title |
Evaluation of a refinement algorithm for the generation of referring expressions |
| spellingShingle |
Evaluation of a refinement algorithm for the generation of referring expressions Altamirano, Ivana Romina Evaluation Machine Learning Refinement Algorithms Referring Expressions Human Judge |
| title_short |
Evaluation of a refinement algorithm for the generation of referring expressions |
| title_full |
Evaluation of a refinement algorithm for the generation of referring expressions |
| title_fullStr |
Evaluation of a refinement algorithm for the generation of referring expressions |
| title_full_unstemmed |
Evaluation of a refinement algorithm for the generation of referring expressions |
| title_sort |
Evaluation of a refinement algorithm for the generation of referring expressions |
| dc.creator.none.fl_str_mv |
Altamirano, Ivana Romina Benotti, Luciana |
| author |
Altamirano, Ivana Romina |
| author_facet |
Altamirano, Ivana Romina Benotti, Luciana |
| author_role |
author |
| author2 |
Benotti, Luciana |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Evaluation Machine Learning Refinement Algorithms Referring Expressions Human Judge |
| topic |
Evaluation Machine Learning Refinement Algorithms Referring Expressions Human Judge |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
In this paper we describe and evaluate an algorithm for generating referring expressions that uses linear regression for learning the probability of using certain properties to describe an object in a given scene. The algorithm we present is an extension of a refinement algorithm modified to take probabilities learnt from corpora into account. As a result, the algorithm is able not only to generate correct referring expressions that uniquely identify the referents but it also generates referring expressions that are considered equal or better than those generated by humans in 92% of the cases by a human judge. We classify and give examples of the referring expressions that humans prefer, and indicate the potential impact of our work for theories of the egocentric use of language. Fil: Altamirano, Ivana Romina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina Fil: Benotti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física. Sección Física; Argentina |
| description |
In this paper we describe and evaluate an algorithm for generating referring expressions that uses linear regression for learning the probability of using certain properties to describe an object in a given scene. The algorithm we present is an extension of a refinement algorithm modified to take probabilities learnt from corpora into account. As a result, the algorithm is able not only to generate correct referring expressions that uniquely identify the referents but it also generates referring expressions that are considered equal or better than those generated by humans in 92% of the cases by a human judge. We classify and give examples of the referring expressions that humans prefer, and indicate the potential impact of our work for theories of the egocentric use of language. |
| publishDate |
2013 |
| dc.date.none.fl_str_mv |
2013-10 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/80139 Altamirano, Ivana Romina; Benotti, Luciana; Evaluation of a refinement algorithm for the generation of referring expressions; Springer; Lecture Notes in Computer Science; 8175 LNAI; 10-2013; 31-44 0302-9743 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/80139 |
| identifier_str_mv |
Altamirano, Ivana Romina; Benotti, Luciana; Evaluation of a refinement algorithm for the generation of referring expressions; Springer; Lecture Notes in Computer Science; 8175 LNAI; 10-2013; 31-44 0302-9743 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/chapter/10.1007%2F978-3-642-40972-1_3 info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-40972-1_3 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
| dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Springer |
| publisher.none.fl_str_mv |
Springer |
| dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
| reponame_str |
CONICET Digital (CONICET) |
| collection |
CONICET Digital (CONICET) |
| instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
| repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
| repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
| _version_ |
1856403473899192320 |
| score |
13.115731 |