A machine learning approach to Portuguese pronoun resolution (2008)
- Authors:
- Autor USP: PARABONI, IVANDRE - EACH
- Unidade: EACH
- Subjects: LINGUAGEM NATURAL; LINGUÍSTICA COMPUTACIONAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Berlin
- Date published: 2008
- Source:
- Título do periódico: Lecture Notes in Computer Science
- Volume/Número/Paginação/Ano: v. 5290, p. 262-271, oct. 2008
- Conference titles: Ibero-American Conference on Artificial Intelligence
-
ABNT
MOYA CUEVAS, Ramon Ré e PARABONI, Ivandré. A machine learning approach to Portuguese pronoun resolution. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: http://www.springerlink.com/content/67176q54x6736hx3/fulltext.pdf. Acesso em: 23 abr. 2024. , 2008 -
APA
Moya Cuevas, R. R., & Paraboni, I. (2008). A machine learning approach to Portuguese pronoun resolution. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Recuperado de http://www.springerlink.com/content/67176q54x6736hx3/fulltext.pdf -
NLM
Moya Cuevas RR, Paraboni I. A machine learning approach to Portuguese pronoun resolution [Internet]. Lecture Notes in Computer Science. 2008 ; 5290 262-271.[citado 2024 abr. 23 ] Available from: http://www.springerlink.com/content/67176q54x6736hx3/fulltext.pdf -
Vancouver
Moya Cuevas RR, Paraboni I. A machine learning approach to Portuguese pronoun resolution [Internet]. Lecture Notes in Computer Science. 2008 ; 5290 262-271.[citado 2024 abr. 23 ] Available from: http://www.springerlink.com/content/67176q54x6736hx3/fulltext.pdf - Zoom: a corpus of natural language descriptions of map locations
- EACH-USP Ensemble Cross-Domain Authorship Attribution
- Gerando expressões de referência com a "quantidade certa" de informação
- The design of an experiment in anaphora resolution for referring expressions generation
- Portuguese text generation using factored language models
- Generating relational descriptions involving mutual disambiguation
- Detecção de quebras em diálogos humano-computador
- Combining frequent and discriminating attributes in the generation of definite descriptions
- Using ‘low-cost’ learning features for pronoun resolution
- Portuguese text generation from large corpora
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