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Trabalho de evento
Analysing and validating language complexity metrics across South American indigenous languages (2024)
Serras, Felipe Ribas ; Carpi, Miguel de Mello ; Castello Branco, Matheus ; Finger, Marcelo
Source: Proceedings. Conference titles: Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics - CMCL. Unidade: IME
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REPRESENTAÇÃO DE CONHECIMENTO, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SERRAS, Felipe Ribas et al. Analysing and validating language complexity metrics across South American indigenous languages. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.cmcl-1.13.pdf. Acesso em: 08 nov. 2024.
APA
Serras, F. R., Carpi, M. de M., Castello Branco, M., & Finger, M. (2024). Analysing and validating language complexity metrics across South American indigenous languages. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.cmcl-1.13.pdf
NLM
Serras FR, Carpi M de M, Castello Branco M, Finger M. Analysing and validating language complexity metrics across South American indigenous languages [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.cmcl-1.13.pdf
Vancouver
Serras FR, Carpi M de M, Castello Branco M, Finger M. Analysing and validating language complexity metrics across South American indigenous languages [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.cmcl-1.13.pdf
Trabalho de evento
Simple and fast automatic prosodic segmentation of brazilian portuguese spontaneous speech (2024)
Craveiro, Giovana Meloni; Santos, Vinícius Gonçalves dos ; Dalalana, Gabriel José Pellisser ; Svartman, Flaviane Romani Fernandes ; Aluísio, Sandra Maria
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidades: FFLCH, ICMC, EESC
Subjects: SÍNTESE DE FALA, APRENDIZADO COMPUTACIONAL, CORPUS, HEURÍSTICA, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CRAVEIRO, Giovana Meloni et al. Simple and fast automatic prosodic segmentation of brazilian portuguese spontaneous speech. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.4/. Acesso em: 08 nov. 2024.
APA
Craveiro, G. M., Santos, V. G. dos, Dalalana, G. J. P., Svartman, F. R. F., & Aluísio, S. M. (2024). Simple and fast automatic prosodic segmentation of brazilian portuguese spontaneous speech. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.4/
NLM
Craveiro GM, Santos VG dos, Dalalana GJP, Svartman FRF, Aluísio SM. Simple and fast automatic prosodic segmentation of brazilian portuguese spontaneous speech [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.4/
Vancouver
Craveiro GM, Santos VG dos, Dalalana GJP, Svartman FRF, Aluísio SM. Simple and fast automatic prosodic segmentation of brazilian portuguese spontaneous speech [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.4/
Trabalho de evento
Portal NURC-SP: design, development, and speech processing corpora resources to support the public dissemination of portuguese spoken language (2024)
Rodrigues, Ana Carolina; Macedo, Alessandra Alaniz ; Candido Junior, Arnaldo ; Svartman, Flaviane Romani Fernandes ; Craveiro, Giovana Meloni; Leite, Marli Quadros ; Aluísio, Sandra Maria ; Santos, Vinícius Gonçalves dos ; Garcia, Vinícius Molina
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidades: FFCLRP, FFLCH, ICMC
Subjects: CORPUS, SÍNTESE DE FALA, PROSÓDIA, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Ana Carolina et al. Portal NURC-SP: design, development, and speech processing corpora resources to support the public dissemination of portuguese spoken language. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.19. Acesso em: 08 nov. 2024.
APA
Rodrigues, A. C., Macedo, A. A., Candido Junior, A., Svartman, F. R. F., Craveiro, G. M., Leite, M. Q., et al. (2024). Portal NURC-SP: design, development, and speech processing corpora resources to support the public dissemination of portuguese spoken language. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.19
NLM
Rodrigues AC, Macedo AA, Candido Junior A, Svartman FRF, Craveiro GM, Leite MQ, Aluísio SM, Santos VG dos, Garcia VM. Portal NURC-SP: design, development, and speech processing corpora resources to support the public dissemination of portuguese spoken language [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.19
Vancouver
Rodrigues AC, Macedo AA, Candido Junior A, Svartman FRF, Craveiro GM, Leite MQ, Aluísio SM, Santos VG dos, Garcia VM. Portal NURC-SP: design, development, and speech processing corpora resources to support the public dissemination of portuguese spoken language [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.19
Trabalho de evento
Exploring computational discernibility of discourse domains in brazilian portuguese within the Carolina corpus (2024)
Serras, Felipe Ribas ; Sturzeneker, Mariana Lourenço ; Carpi, Miguel de Mello ; Palma, Mayara Feliciano ; Crespo, Maria Clara Ramos Morales ; Costa, Aline Silva ; Monte, Vanessa Martins do ; Namiuti, Cristiane ; Sousa, Maria Clara Paixão de ; Finger, Marcelo
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidades: FFLCH, IME
Subjects: LINGUÍSTICA DE CORPUS, PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SERRAS, Felipe Ribas et al. Exploring computational discernibility of discourse domains in brazilian portuguese within the Carolina corpus. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.26. Acesso em: 08 nov. 2024.
APA
Serras, F. R., Sturzeneker, M. L., Carpi, M. de M., Palma, M. F., Crespo, M. C. R. M., Costa, A. S., et al. (2024). Exploring computational discernibility of discourse domains in brazilian portuguese within the Carolina corpus. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.26
NLM
Serras FR, Sturzeneker ML, Carpi M de M, Palma MF, Crespo MCRM, Costa AS, Monte VM do, Namiuti C, Sousa MCP de, Finger M. Exploring computational discernibility of discourse domains in brazilian portuguese within the Carolina corpus [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.26
Vancouver
Serras FR, Sturzeneker ML, Carpi M de M, Palma MF, Crespo MCRM, Costa AS, Monte VM do, Namiuti C, Sousa MCP de, Finger M. Exploring computational discernibility of discourse domains in brazilian portuguese within the Carolina corpus [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.26
Trabalho de evento
Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate (2024)
Pressato, Diany ; Andrade, Pedro Lucas Castro de; Rocha Junior, Flávio Cordeiro; Siqueira, Felipe Alves ; Souza, Ellen Polliana Ramos ; Silva, Nádia Felix Felipe da ; Dias, Márcio de Souza ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRESSATO, Diany et al. Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.70. Acesso em: 08 nov. 2024.
APA
Pressato, D., Andrade, P. L. C. de, Rocha Junior, F. C., Siqueira, F. A., Souza, E. P. R., Silva, N. F. F. da, et al. (2024). Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.70
NLM
Pressato D, Andrade PLC de, Rocha Junior FC, Siqueira FA, Souza EPR, Silva NFF da, Dias M de S, Carvalho ACP de LF de. Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.70
Vancouver
Pressato D, Andrade PLC de, Rocha Junior FC, Siqueira FA, Souza EPR, Silva NFF da, Dias M de S, Carvalho ACP de LF de. Natural language processing application in legislative activity: a case study of similar amendments in the brazilian senate [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.70
Trabalho de evento
UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition (2024)
Albuquerque, Hidelberg Oliveira ; Souza, Ellen Polliana Ramos ; Silva, Tainan; Gouveia, Rafael P; Rocha Junior, Flávio Cordeiro; Vitório, Douglas ; Silva, Nádia Felix Felipe da ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Oliveira, Adriano Lorena Inacio de ; Andrade, Francisco Edmundo de
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALBUQUERQUE, Hidelberg Oliveira et al. UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.35. Acesso em: 08 nov. 2024.
APA
Albuquerque, H. O., Souza, E. P. R., Silva, T., Gouveia, R. P., Rocha Junior, F. C., Vitório, D., et al. (2024). UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.35
NLM
Albuquerque HO, Souza EPR, Silva T, Gouveia RP, Rocha Junior FC, Vitório D, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Andrade FE de. UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.35
Vancouver
Albuquerque HO, Souza EPR, Silva T, Gouveia RP, Rocha Junior FC, Vitório D, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Andrade FE de. UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.35
Trabalho de evento
Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets (2024)
Matos, Ariadne Nascimento ; Araújo, Gustavo Evangelista; Candido Junior, Arnaldo ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: SÍNTESE DE FALA, PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, PROSÓDIA, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATOS, Ariadne Nascimento et al. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.37. Acesso em: 08 nov. 2024.
APA
Matos, A. N., Araújo, G. E., Candido Junior, A., & Ponti, M. A. (2024). Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.37
NLM
Matos AN, Araújo GE, Candido Junior A, Ponti MA. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.37
Vancouver
Matos AN, Araújo GE, Candido Junior A, Ponti MA. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.37
Trabalho de evento
TTS applied to the generation of datasets for automatic speech recognition (2024)
Casanova, Edresson ; Aluísio, Sandra Maria ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: RECONHECIMENTO DA FALA, APRENDIZAGEM PROFUNDA, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson e ALUÍSIO, Sandra Maria e PONTI, Moacir Antonelli. TTS applied to the generation of datasets for automatic speech recognition. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.73. Acesso em: 08 nov. 2024.
APA
Casanova, E., Aluísio, S. M., & Ponti, M. A. (2024). TTS applied to the generation of datasets for automatic speech recognition. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.73
NLM
Casanova E, Aluísio SM, Ponti MA. TTS applied to the generation of datasets for automatic speech recognition [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.73
Vancouver
Casanova E, Aluísio SM, Ponti MA. TTS applied to the generation of datasets for automatic speech recognition [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.73
Trabalho de evento
Towards Portparser: a highly accurate parsing system for brazilian portuguese following the Universal Dependencies framework (2024)
Lopes, Lucelene ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, ANÁLISE DE TEXTO, LINGUÍSTICA DE CORPUS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Lucelene e PARDO, Thiago Alexandre Salgueiro. Towards Portparser: a highly accurate parsing system for brazilian portuguese following the Universal Dependencies framework. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.41. Acesso em: 08 nov. 2024.
APA
Lopes, L., & Pardo, T. A. S. (2024). Towards Portparser: a highly accurate parsing system for brazilian portuguese following the Universal Dependencies framework. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.41
NLM
Lopes L, Pardo TAS. Towards Portparser: a highly accurate parsing system for brazilian portuguese following the Universal Dependencies framework [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.41
Vancouver
Lopes L, Pardo TAS. Towards Portparser: a highly accurate parsing system for brazilian portuguese following the Universal Dependencies framework [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.41
Trabalho de evento
A new benchmark for automatic essay scoring in portuguese (2024)
Silveira, Igor Cataneo ; Barbosa, André; Mauá, Denis Deratani
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: IME
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVEIRA, Igor Cataneo e BARBOSA, André e MAUÁ, Denis Deratani. A new benchmark for automatic essay scoring in portuguese. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.23. Acesso em: 08 nov. 2024.
APA
Silveira, I. C., Barbosa, A., & Mauá, D. D. (2024). A new benchmark for automatic essay scoring in portuguese. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.23
NLM
Silveira IC, Barbosa A, Mauá DD. A new benchmark for automatic essay scoring in portuguese [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.23
Vancouver
Silveira IC, Barbosa A, Mauá DD. A new benchmark for automatic essay scoring in portuguese [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.23
Trabalho de evento
RoBERTaLexPT: a legal RoBERTa model pretrained with deduplication for portuguese (2024)
Garcia, Eduardo; Silva, Nádia Felix Felipe da ; Siqueira, Felipe Alves ; Gomes, Juliana; Albuquerque, Hidelberg Oliveira ; Souza, Ellen Polliana Ramos ; Lima, Eliomar ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, CORPUS, BENCHMARKS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Eduardo et al. RoBERTaLexPT: a legal RoBERTa model pretrained with deduplication for portuguese. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.38. Acesso em: 08 nov. 2024.
APA
Garcia, E., Silva, N. F. F. da, Siqueira, F. A., Gomes, J., Albuquerque, H. O., Souza, E. P. R., et al. (2024). RoBERTaLexPT: a legal RoBERTa model pretrained with deduplication for portuguese. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.38
NLM
Garcia E, Silva NFF da, Siqueira FA, Gomes J, Albuquerque HO, Souza EPR, Lima E, Carvalho ACP de LF de. RoBERTaLexPT: a legal RoBERTa model pretrained with deduplication for portuguese [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.38
Vancouver
Garcia E, Silva NFF da, Siqueira FA, Gomes J, Albuquerque HO, Souza EPR, Lima E, Carvalho ACP de LF de. RoBERTaLexPT: a legal RoBERTa model pretrained with deduplication for portuguese [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-1.38
Trabalho de evento
HausaHate: an expert annotated corpus for hausa hate speech detection (2024)
Vargas, Francielle Alves ; Guimarães, Samuel; Muhammad, Shamsuddeen Hassan; Alves, Diego; Ahmad, Ibrahim Said; Abdulmumin, Idris ; Mohamed, Diallo; Pardo, Thiago Alexandre Salgueiro ; Benevenuto, Fabrício
Source: Proceedings. Conference titles: Workshop on Online Abuse and Harms - WOAH. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, CORPUS, ÓDIO, LÍNGUAS INDÍGENAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VARGAS, Francielle Alves et al. HausaHate: an expert annotated corpus for hausa hate speech detection. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.woah-1.5. Acesso em: 08 nov. 2024.
APA
Vargas, F. A., Guimarães, S., Muhammad, S. H., Alves, D., Ahmad, I. S., Abdulmumin, I., et al. (2024). HausaHate: an expert annotated corpus for hausa hate speech detection. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.woah-1.5
NLM
Vargas FA, Guimarães S, Muhammad SH, Alves D, Ahmad IS, Abdulmumin I, Mohamed D, Pardo TAS, Benevenuto F. HausaHate: an expert annotated corpus for hausa hate speech detection [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.woah-1.5
Vancouver
Vargas FA, Guimarães S, Muhammad SH, Alves D, Ahmad IS, Abdulmumin I, Mohamed D, Pardo TAS, Benevenuto F. HausaHate: an expert annotated corpus for hausa hate speech detection [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.woah-1.5
Trabalho de evento
Investigating paraphrase generation as a data augmentation strategy for low-resource AMR-to-text generation (2024)
Cabezudo, Marco Antonio Sobrevilla ; Inácio, Marcio Lima ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International Natural Language Generation Conference - INLG. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CABEZUDO, Marco Antonio Sobrevilla e INÁCIO, Marcio Lima e PARDO, Thiago Alexandre Salgueiro. Investigating paraphrase generation as a data augmentation strategy for low-resource AMR-to-text generation. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.inlg-main.51. Acesso em: 08 nov. 2024.
APA
Cabezudo, M. A. S., Inácio, M. L., & Pardo, T. A. S. (2024). Investigating paraphrase generation as a data augmentation strategy for low-resource AMR-to-text generation. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.inlg-main.51
NLM
Cabezudo MAS, Inácio ML, Pardo TAS. Investigating paraphrase generation as a data augmentation strategy for low-resource AMR-to-text generation [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.inlg-main.51
Vancouver
Cabezudo MAS, Inácio ML, Pardo TAS. Investigating paraphrase generation as a data augmentation strategy for low-resource AMR-to-text generation [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.inlg-main.51
Trabalho de evento
Grammar induction for brazilian indigenous languages (2024)
Silva, Diego Pedro Gonçalves da ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, SINTAXE E SEMÂNTICA DA LINGUAGEM NATURAL, GRAMÁTICAS FORMAIS POR COMPUTADOR, LÍNGUAS INDÍGENAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Diego Pedro Gonçalves da e PARDO, Thiago Alexandre Salgueiro. Grammar induction for brazilian indigenous languages. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-2.10. Acesso em: 08 nov. 2024.
APA
Silva, D. P. G. da, & Pardo, T. A. S. (2024). Grammar induction for brazilian indigenous languages. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-2.10
NLM
Silva DPG da, Pardo TAS. Grammar induction for brazilian indigenous languages [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-2.10
Vancouver
Silva DPG da, Pardo TAS. Grammar induction for brazilian indigenous languages [Internet]. Proceedings. 2024 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2024.propor-2.10
Trabalho de evento
Evaluating content features and classification methods for helpfulness prediction of online reviews: establishing a benchmark for portuguese (2022)
Sousa, Rogério Figueredo de ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis - WASSA. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, REDES NEURAIS, BENCHMARKS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUSA, Rogério Figueredo de e PARDO, Thiago Alexandre Salgueiro. Evaluating content features and classification methods for helpfulness prediction of online reviews: establishing a benchmark for portuguese. 2022, Anais.. Stroudsburg: ACL, 2022. Disponível em: https://aclanthology.org/2022.wassa-1.19. Acesso em: 08 nov. 2024.
APA
Sousa, R. F. de, & Pardo, T. A. S. (2022). Evaluating content features and classification methods for helpfulness prediction of online reviews: establishing a benchmark for portuguese. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2022.wassa-1.19
NLM
Sousa RF de, Pardo TAS. Evaluating content features and classification methods for helpfulness prediction of online reviews: establishing a benchmark for portuguese [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2022.wassa-1.19
Vancouver
Sousa RF de, Pardo TAS. Evaluating content features and classification methods for helpfulness prediction of online reviews: establishing a benchmark for portuguese [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2022.wassa-1.19
Trabalho de evento
Exploring a POS-based two-stage approach for improving low-resource AMR-to-text generation (2022)
Cabezudo, Marco Antonio Sobrevilla ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: Workshop on Natural Language Generation, Evaluation, and Metrics - GEM. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CABEZUDO, Marco Antonio Sobrevilla e PARDO, Thiago Alexandre Salgueiro. Exploring a POS-based two-stage approach for improving low-resource AMR-to-text generation. 2022, Anais.. Stroudsburg: ACL, 2022. Disponível em: https://aclanthology.org/2022.gem-1.49. Acesso em: 08 nov. 2024.
APA
Cabezudo, M. A. S., & Pardo, T. A. S. (2022). Exploring a POS-based two-stage approach for improving low-resource AMR-to-text generation. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2022.gem-1.49
NLM
Cabezudo MAS, Pardo TAS. Exploring a POS-based two-stage approach for improving low-resource AMR-to-text generation [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2022.gem-1.49
Vancouver
Cabezudo MAS, Pardo TAS. Exploring a POS-based two-stage approach for improving low-resource AMR-to-text generation [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2022.gem-1.49
Trabalho de evento
Que simples que nada: a anotação da palavra que em corpus de UD (2022)
Duran, Magali Sanches ; Oliveira, Heloísa de; Scandarolli, Clarissa
Source: Proceedings. Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, CORPUS, LÉXICO, AMBIGUIDADE, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DURAN, Magali Sanches e OLIVEIRA, Heloísa de e SCANDAROLLI, Clarissa. Que simples que nada: a anotação da palavra que em corpus de UD. 2022, Anais.. Stroudsburg: ACL, 2022. Disponível em: https://aclanthology.org/2022.udfestbr-1.3. Acesso em: 08 nov. 2024.
APA
Duran, M. S., Oliveira, H. de, & Scandarolli, C. (2022). Que simples que nada: a anotação da palavra que em corpus de UD. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2022.udfestbr-1.3
NLM
Duran MS, Oliveira H de, Scandarolli C. Que simples que nada: a anotação da palavra que em corpus de UD [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2022.udfestbr-1.3
Vancouver
Duran MS, Oliveira H de, Scandarolli C. Que simples que nada: a anotação da palavra que em corpus de UD [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2022.udfestbr-1.3
Trabalho de evento
UDConcord: a concordancer for Universal Dependencies treebanks (2022)
Miranda, Lucas Gabriel Mendes; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidades: ICMC, EESC E ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Lucas Gabriel Mendes e PARDO, Thiago Alexandre Salgueiro. UDConcord: a concordancer for Universal Dependencies treebanks. 2022, Anais.. Stroudsburg: ACL, 2022. Disponível em: https://aclanthology.org/2022.udfestbr-1.6. Acesso em: 08 nov. 2024.
APA
Miranda, L. G. M., & Pardo, T. A. S. (2022). UDConcord: a concordancer for Universal Dependencies treebanks. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2022.udfestbr-1.6
NLM
Miranda LGM, Pardo TAS. UDConcord: a concordancer for Universal Dependencies treebanks [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2022.udfestbr-1.6
Vancouver
Miranda LGM, Pardo TAS. UDConcord: a concordancer for Universal Dependencies treebanks [Internet]. Proceedings. 2022 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2022.udfestbr-1.6
Trabalho de evento
Deep learning against COVID-19: respiratory insufficiency detection in brazilian portuguese speech (2021)
Casanova, Edresson ; Gris, Lucas; Camargo, Augusto; Silva, Daniel da; Gazzola, Murilo Gleyson ; Sabino, Ester Cerdeira ; Levin, Anna Sara Shafferman ; Candido Junior, Arnaldo ; Aluísio, Sandra Maria ; Finger, Marcelo
Source: Proceedings. Conference titles: Annual Meeting of the Association for Computational Linguistics - ACL. Unidades: FM, ICMC, IME
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZAGEM PROFUNDA, REDES NEURAIS, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, INSUFICIÊNCIA RESPIRATÓRIA, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. Deep learning against COVID-19: respiratory insufficiency detection in brazilian portuguese speech. 2021, Anais.. Stroudsburg: ACL, 2021. Disponível em: https://doi.org/10.18653/v1/2021.findings-acl.55. Acesso em: 08 nov. 2024.
APA
Casanova, E., Gris, L., Camargo, A., Silva, D. da, Gazzola, M. G., Sabino, E. C., et al. (2021). Deep learning against COVID-19: respiratory insufficiency detection in brazilian portuguese speech. In Proceedings. Stroudsburg: ACL. doi:10.18653/v1/2021.findings-acl.55
NLM
Casanova E, Gris L, Camargo A, Silva D da, Gazzola MG, Sabino EC, Levin ASS, Candido Junior A, Aluísio SM, Finger M. Deep learning against COVID-19: respiratory insufficiency detection in brazilian portuguese speech [Internet]. Proceedings. 2021 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.18653/v1/2021.findings-acl.55
Vancouver
Casanova E, Gris L, Camargo A, Silva D da, Gazzola MG, Sabino EC, Levin ASS, Candido Junior A, Aluísio SM, Finger M. Deep learning against COVID-19: respiratory insufficiency detection in brazilian portuguese speech [Internet]. Proceedings. 2021 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.18653/v1/2021.findings-acl.55
Trabalho de evento
On auxiliary verb in universal dependencies: untangling the issue and proposing a systematized annotation strategy (2021)
Duran, Magali Sanches ; Pagano, Adriana Silvina ; Rassi, Amanda Pontes ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: International Conference on Dependency Linguistics - Depling. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL, PORTUGUÊS DO BRASIL, VERBO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DURAN, Magali Sanches et al. On auxiliary verb in universal dependencies: untangling the issue and proposing a systematized annotation strategy. 2021, Anais.. Stroudsburg: ACL, 2021. Disponível em: https://aclanthology.org/2021.depling-1.2. Acesso em: 08 nov. 2024.
APA
Duran, M. S., Pagano, A. S., Rassi, A. P., & Pardo, T. A. S. (2021). On auxiliary verb in universal dependencies: untangling the issue and proposing a systematized annotation strategy. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2021.depling-1.2
NLM
Duran MS, Pagano AS, Rassi AP, Pardo TAS. On auxiliary verb in universal dependencies: untangling the issue and proposing a systematized annotation strategy [Internet]. Proceedings. 2021 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2021.depling-1.2
Vancouver
Duran MS, Pagano AS, Rassi AP, Pardo TAS. On auxiliary verb in universal dependencies: untangling the issue and proposing a systematized annotation strategy [Internet]. Proceedings. 2021 ;[citado 2024 nov. 08 ] Available from: https://aclanthology.org/2021.depling-1.2

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