Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science

Detalhes bibliográficos
Autor(a) principal: Pirozelli, Paulo
Data de Publicação: 2022
Outros Autores: Câmara, Igor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Manuscrito (Online)
Texto Completo: https://periodicos.sbu.unicamp.br/ojs/index.php/manuscrito/article/view/8670442
Resumo: Philosophy of language and computer science, despite being very distinct fields, share a great interest in natural language. However, while philosophy has traditionally opted for a formalist approach, computer science has been increasingly favoring probabilistic models. After presenting these two approaches in more detail, we discuss some of their main virtues and limitations. On the one hand, formalist models have trouble in acquiring semantic information from corpora and learning from large amounts of data. Probabilistic approaches, on the other hand, have difficulty in operating with compositionality, in dealing with contrast sets and hierarchical relations, and in distinguishing normative and descriptive views of meaning. We argue that a more fruitful dialogue between philosophers and computer scientists may help to produce a better approach to natural language and stimulate the integration of logical and probabilistic methods.
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spelling Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer scienceNatural language at a crossroads: formal and probabilistic approaches in philosophy and computer scienceNatural language at a crossroads: formal and probabilistic approaches in philosophy and computer sciencePhilosophy of languagePhilosophy of languagePhilosophy of languagePhilosophy of language and computer science, despite being very distinct fields, share a great interest in natural language. However, while philosophy has traditionally opted for a formalist approach, computer science has been increasingly favoring probabilistic models. After presenting these two approaches in more detail, we discuss some of their main virtues and limitations. On the one hand, formalist models have trouble in acquiring semantic information from corpora and learning from large amounts of data. Probabilistic approaches, on the other hand, have difficulty in operating with compositionality, in dealing with contrast sets and hierarchical relations, and in distinguishing normative and descriptive views of meaning. We argue that a more fruitful dialogue between philosophers and computer scientists may help to produce a better approach to natural language and stimulate the integration of logical and probabilistic methods.Philosophy of language and computer science, despite being very distinct fields, share a great interest in natural language. However, while philosophy has traditionally opted for a formalist approach, computer science has been increasingly favoring probabilistic models. After presenting these two approaches in more detail, we discuss some of their main virtues and limitations. On the one hand, formalist models have trouble in acquiring semantic information from corpora and learning from large amounts of data. Probabilistic approaches, on the other hand, have difficulty in operating with compositionality, in dealing with contrast sets and hierarchical relations, and in distinguishing normative and descriptive views of meaning. We argue that a more fruitful dialogue between philosophers and computer scientists may help to produce a better approach to natural language and stimulate the integration of logical and probabilistic methods.Philosophy of language and computer science, despite being very distinct fields, share a great interest in natural language. However, while philosophy has traditionally opted for a formalist approach, computer science has been increasingly favoring probabilistic models. After presenting these two approaches in more detail, we discuss some of their main virtues and limitations. On the one hand, formalist models have trouble in acquiring semantic information from corpora and learning from large amounts of data. Probabilistic approaches, on the other hand, have difficulty in operating with compositionality, in dealing with contrast sets and hierarchical relations, and in distinguishing normative and descriptive views of meaning. We argue that a more fruitful dialogue between philosophers and computer scientists may help to produce a better approach to natural language and stimulate the integration of logical and probabilistic methods.Universidade Estadual de Campinas2022-07-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextTextinfo:eu-repo/semantics/otherapplication/pdfhttps://periodicos.sbu.unicamp.br/ojs/index.php/manuscrito/article/view/8670442Manuscrito: Revista Internacional de Filosofia; v. 45 n. 2 (2022): abr./jun.; 50-81Manuscrito: International Journal of Philosophy; Vol. 45 No. 2 (2022): abr./jun.; 50-81Manuscrito: Revista Internacional de Filosofía; Vol. 45 Núm. 2 (2022): abr./jun.; 50-812317-630Xreponame:Manuscrito (Online)instname:Universidade Estadual de Campinas (UNICAMP)instacron:UNICAMPenghttps://periodicos.sbu.unicamp.br/ojs/index.php/manuscrito/article/view/8670442/29594Brazil; ContemporaryBrazil; ContemporaryBrazil; ContemporaryCopyright (c) 2022 Manuscrito: Revista Internacional de Filosofiahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPirozelli, PauloCâmara, Igor2022-07-20T18:06:36Zoai:ojs.periodicos.sbu.unicamp.br:article/8670442Revistahttps://periodicos.sbu.unicamp.br/ojs/index.php/manuscritoPUBhttps://periodicos.sbu.unicamp.br/ojs/index.php/manuscrito/oaimwrigley@cle.unicamp.br|| dascal@spinoza.tau.ac.il||publicacoes@cle.unicamp.br2317-630X0100-6045opendoar:2022-07-20T18:06:36Manuscrito (Online) - Universidade Estadual de Campinas (UNICAMP)false
dc.title.none.fl_str_mv Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science
Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science
Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science
title Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science
spellingShingle Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science
Pirozelli, Paulo
Philosophy of language
Philosophy of language
Philosophy of language
title_short Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science
title_full Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science
title_fullStr Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science
title_full_unstemmed Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science
title_sort Natural language at a crossroads: formal and probabilistic approaches in philosophy and computer science
author Pirozelli, Paulo
author_facet Pirozelli, Paulo
Câmara, Igor
author_role author
author2 Câmara, Igor
author2_role author
dc.contributor.author.fl_str_mv Pirozelli, Paulo
Câmara, Igor
dc.subject.por.fl_str_mv Philosophy of language
Philosophy of language
Philosophy of language
topic Philosophy of language
Philosophy of language
Philosophy of language
description Philosophy of language and computer science, despite being very distinct fields, share a great interest in natural language. However, while philosophy has traditionally opted for a formalist approach, computer science has been increasingly favoring probabilistic models. After presenting these two approaches in more detail, we discuss some of their main virtues and limitations. On the one hand, formalist models have trouble in acquiring semantic information from corpora and learning from large amounts of data. Probabilistic approaches, on the other hand, have difficulty in operating with compositionality, in dealing with contrast sets and hierarchical relations, and in distinguishing normative and descriptive views of meaning. We argue that a more fruitful dialogue between philosophers and computer scientists may help to produce a better approach to natural language and stimulate the integration of logical and probabilistic methods.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Text
Text
info:eu-repo/semantics/other
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.sbu.unicamp.br/ojs/index.php/manuscrito/article/view/8670442
url https://periodicos.sbu.unicamp.br/ojs/index.php/manuscrito/article/view/8670442
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.sbu.unicamp.br/ojs/index.php/manuscrito/article/view/8670442/29594
dc.rights.driver.fl_str_mv Copyright (c) 2022 Manuscrito: Revista Internacional de Filosofia
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Manuscrito: Revista Internacional de Filosofia
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Brazil; Contemporary
Brazil; Contemporary
Brazil; Contemporary
dc.publisher.none.fl_str_mv Universidade Estadual de Campinas
publisher.none.fl_str_mv Universidade Estadual de Campinas
dc.source.none.fl_str_mv Manuscrito: Revista Internacional de Filosofia; v. 45 n. 2 (2022): abr./jun.; 50-81
Manuscrito: International Journal of Philosophy; Vol. 45 No. 2 (2022): abr./jun.; 50-81
Manuscrito: Revista Internacional de Filosofía; Vol. 45 Núm. 2 (2022): abr./jun.; 50-81
2317-630X
reponame:Manuscrito (Online)
instname:Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
instname_str Universidade Estadual de Campinas (UNICAMP)
instacron_str UNICAMP
institution UNICAMP
reponame_str Manuscrito (Online)
collection Manuscrito (Online)
repository.name.fl_str_mv Manuscrito (Online) - Universidade Estadual de Campinas (UNICAMP)
repository.mail.fl_str_mv mwrigley@cle.unicamp.br|| dascal@spinoza.tau.ac.il||publicacoes@cle.unicamp.br
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