Embedding Meaning Algebra into Distributional Semantics
The field of distributional semantics has seen significant progress in recent years due to advancements in natural language processing techniques, particularly through the development of Neural Language Models like GPT and BERT. However, there are still challenges to overcome in terms of semantic re...
| Autor: | |
|---|---|
| Formato: | tesis de maestría |
| Fecha de publicación: | 2023 |
| País: | España |
| Recursos: | Universidad Nacional de Educación a Distancia |
| Repositorio: | e-spacio. Repositorio Institucional de la UNED |
| Idioma: | inglés |
| OAI Identifier: | oai:e-spacio.uned.es:20.500.14468/14708 |
| Acesso em linha: | https://hdl.handle.net/20.500.14468/14708 |
| Access Level: | acceso abierto |
| Palavra-chave: | 1203 Ciencia de los ordenadores |
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Embedding Meaning Algebra into Distributional SemanticsAlonso Viñas, Carlos1203 Ciencia de los ordenadoresThe field of distributional semantics has seen significant progress in recent years due to advancements in natural language processing techniques, particularly through the development of Neural Language Models like GPT and BERT. However, there are still challenges to overcome in terms of semantic representation, particularly in the lack of coherence and consistency in existing representation systems. This work introduces a framework defining the relationship between a probabilistic space, a set of meanings, and a vector space of static embedding representations; and establishes formal properties based on definitions that would be desirable for any distributional representation system to comply with in order to establish a common ground between distributional semantics and other approaches. This work also introduces an evaluation benchmark, defined on the basis of the formal properties introduced, which will allow to measure the quality of a representation system.Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Lenguajes y Sistemas InformáticosAmigo Cabrera, EnriqueFresno Fernández, Víctor Diegoe-Spacio UNED20242024-05-2020232023-09-2420232023-09-24master thesishttp://purl.org/coar/resource_type/c_bdccinfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/20.500.14468/14708reponame:e-spacio. Repositorio Institucional de la UNEDinstname:Universidad Nacional de Educación a DistanciaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.esoai:e-spacio.uned.es:20.500.14468/147082026-06-06T12:38:31Z |
| dc.title.none.fl_str_mv |
Embedding Meaning Algebra into Distributional Semantics |
| title |
Embedding Meaning Algebra into Distributional Semantics |
| spellingShingle |
Embedding Meaning Algebra into Distributional Semantics Alonso Viñas, Carlos 1203 Ciencia de los ordenadores |
| title_short |
Embedding Meaning Algebra into Distributional Semantics |
| title_full |
Embedding Meaning Algebra into Distributional Semantics |
| title_fullStr |
Embedding Meaning Algebra into Distributional Semantics |
| title_full_unstemmed |
Embedding Meaning Algebra into Distributional Semantics |
| title_sort |
Embedding Meaning Algebra into Distributional Semantics |
| dc.creator.none.fl_str_mv |
Alonso Viñas, Carlos |
| author |
Alonso Viñas, Carlos |
| author_facet |
Alonso Viñas, Carlos |
| author_role |
author |
| dc.contributor.none.fl_str_mv |
Amigo Cabrera, Enrique Fresno Fernández, Víctor Diego e-Spacio UNED |
| dc.subject.none.fl_str_mv |
1203 Ciencia de los ordenadores |
| topic |
1203 Ciencia de los ordenadores |
| description |
The field of distributional semantics has seen significant progress in recent years due to advancements in natural language processing techniques, particularly through the development of Neural Language Models like GPT and BERT. However, there are still challenges to overcome in terms of semantic representation, particularly in the lack of coherence and consistency in existing representation systems. This work introduces a framework defining the relationship between a probabilistic space, a set of meanings, and a vector space of static embedding representations; and establishes formal properties based on definitions that would be desirable for any distributional representation system to comply with in order to establish a common ground between distributional semantics and other approaches. This work also introduces an evaluation benchmark, defined on the basis of the formal properties introduced, which will allow to measure the quality of a representation system. |
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2023 |
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2023 2023-09-24 2023 2023-09-24 2024 2024-05-20 |
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master thesis http://purl.org/coar/resource_type/c_bdcc |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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https://hdl.handle.net/20.500.14468/14708 |
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https://hdl.handle.net/20.500.14468/14708 |
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Inglés eng |
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Inglés |
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eng |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es |
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openAccess |
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application/pdf |
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Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Lenguajes y Sistemas Informáticos |
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Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Lenguajes y Sistemas Informáticos |
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e-spacio. Repositorio Institucional de la UNED |
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