A common semantic space for monolingual and cross-lingual meta-embeddings

This master’s thesis presents a new technique for creating monolingual and cross-lingual meta-embeddings. Our method integrates multiple word embeddings created from complementary techniques, textual sources, knowledge bases and languages. Existing word vectors are projected to a common semantic spa...

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Detalles Bibliográficos
Autor: García Ferrero, Iker
Tipo de recurso: tesis de maestría
Fecha de publicación:2019
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/36183
Acceso en línea:http://hdl.handle.net/10810/36183
Access Level:acceso abierto
Palabra clave:language analysis and processing
monolingual meta-embeddings
cross-lingual meta-embeddings
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spelling A common semantic space for monolingual and cross-lingual meta-embeddingsGarcía Ferrero, Ikerlanguage analysis and processingmonolingual meta-embeddingscross-lingual meta-embeddingsThis master’s thesis presents a new technique for creating monolingual and cross-lingual meta-embeddings. Our method integrates multiple word embeddings created from complementary techniques, textual sources, knowledge bases and languages. Existing word vectors are projected to a common semantic space using linear transformations and averaging. With our method the resulting meta-embeddings maintain the dimensionality of the original embeddings without losing information while dealing with the out-of-vocabulary (OOV) problem. Furthermore, empirical evaluation demonstrates the effectiveness of our technique with respect to previous work on various intrinsic and extrinsic multilingual evaluations.Rigau Claramunt, Germán2019201920192019info:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10810/36183reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/es/Atribución-NoComercial-CompartirIgual 3.0 Españaoai:addi.ehu.eus:10810/361832026-06-18T09:23:17Z
dc.title.none.fl_str_mv A common semantic space for monolingual and cross-lingual meta-embeddings
title A common semantic space for monolingual and cross-lingual meta-embeddings
spellingShingle A common semantic space for monolingual and cross-lingual meta-embeddings
García Ferrero, Iker
language analysis and processing
monolingual meta-embeddings
cross-lingual meta-embeddings
title_short A common semantic space for monolingual and cross-lingual meta-embeddings
title_full A common semantic space for monolingual and cross-lingual meta-embeddings
title_fullStr A common semantic space for monolingual and cross-lingual meta-embeddings
title_full_unstemmed A common semantic space for monolingual and cross-lingual meta-embeddings
title_sort A common semantic space for monolingual and cross-lingual meta-embeddings
dc.creator.none.fl_str_mv García Ferrero, Iker
author García Ferrero, Iker
author_facet García Ferrero, Iker
author_role author
dc.contributor.none.fl_str_mv Rigau Claramunt, Germán
dc.subject.none.fl_str_mv language analysis and processing
monolingual meta-embeddings
cross-lingual meta-embeddings
topic language analysis and processing
monolingual meta-embeddings
cross-lingual meta-embeddings
description This master’s thesis presents a new technique for creating monolingual and cross-lingual meta-embeddings. Our method integrates multiple word embeddings created from complementary techniques, textual sources, knowledge bases and languages. Existing word vectors are projected to a common semantic space using linear transformations and averaging. With our method the resulting meta-embeddings maintain the dimensionality of the original embeddings without losing information while dealing with the out-of-vocabulary (OOV) problem. Furthermore, empirical evaluation demonstrates the effectiveness of our technique with respect to previous work on various intrinsic and extrinsic multilingual evaluations.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/36183
url http://hdl.handle.net/10810/36183
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
Atribución-NoComercial-CompartirIgual 3.0 España
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/es/
Atribución-NoComercial-CompartirIgual 3.0 España
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724