Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/23672
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Rei, R. | - |
dc.contributor.author | Batista, F. | - |
dc.contributor.author | Guerreiro, N. M. | - |
dc.contributor.author | Coheur, L. | - |
dc.contributor.editor | Benites, F., Tuggener, D., Hurlimann, M., Cieliebak, M., & Vogel, M. | - |
dc.date.accessioned | 2021-12-09T15:07:42Z | - |
dc.date.available | 2021-12-09T15:07:42Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 1613-0073 | - |
dc.identifier.uri | http://hdl.handle.net/10071/23672 | - |
dc.description.abstract | This paper describes the model and its corresponding setup, proposed by the Unbabel & INESC-ID team for the 1st Shared Task on Sentence End and Punctuation Prediction in NLG Text (SEPP-NLG 2021). The shared task covers 4 languages (English, German, French and Italian) and includes two subtasks: Subtask 1 - detecting the end of a sentence, and subtask 2 - predicting a range of punctuation marks. Our team proposes a single multilingual and multitask model that is able to produce suitable results for all the languages and subtasks involved. The results show that it is possible to achieve state-of-the-art results using one single multilingual model for both tasks and multiple languages. Using a single multilingual model to solve the task for multiple languages is of particular importance, since training a different model for each language is a cumbersome and time-consuming process. | eng |
dc.language.iso | eng | - |
dc.publisher | CEUR-WS | - |
dc.relation | UIDB/50021/2020 | - |
dc.relation | 038510 | - |
dc.relation | 045909 | - |
dc.rights | openAccess | - |
dc.title | Multilingual simultaneous sentence end and punctuation prediction | eng |
dc.type | conferenceObject | - |
dc.event.title | 2021 Swiss Text Analytics Conference, SwissText 2021 | - |
dc.event.type | Conferência | pt |
dc.event.location | Winterthur | eng |
dc.event.date | 2021 | - |
dc.peerreviewed | yes | - |
dc.journal | Proceedings of the Swiss Text Analytics Conference 2021 | - |
dc.volume | 2957 | - |
degois.publication.location | Winterthur | eng |
degois.publication.title | Multilingual simultaneous sentence end and punctuation prediction | eng |
dc.date.updated | 2021-12-09T15:01:28Z | - |
dc.description.version | info:eu-repo/semantics/publishedVersion | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-82723 | - |
iscte.alternateIdentifiers.scopus | 2-s2.0-85116401837 | - |
Aparece nas coleções: | CTI-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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conferenceobject_82723.pdf | Versão Editora | 622,53 kB | Adobe PDF | Ver/Abrir |
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