Semi-supervised never-ending learning in rhetorical relation identification (2015)
- Authors:
- Autor USP: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC
- Unidade: ICMC
- Subjects: INTELIGÊNCIA ARTIFICIAL; LINGUÍSTICA COMPUTACIONAL; PROCESSAMENTO DE LINGUAGEM NATURAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- ISSN: 1313-8502
- Conference titles: International Conference on Recent Advances in Natural Language Processing - RANLP
-
ABNT
MAZIERO, Erick G e HIRST, Graeme e PARDO, Thiago Alexandre Salgueiro. Semi-supervised never-ending learning in rhetorical relation identification. 2015, Anais.. Shoumen: INCOMA, 2015. Disponível em: http://lml.bas.bg/ranlp2015/docs/RANLP_main.pdf. Acesso em: 11 fev. 2026. -
APA
Maziero, E. G., Hirst, G., & Pardo, T. A. S. (2015). Semi-supervised never-ending learning in rhetorical relation identification. In Proceedings. Shoumen: INCOMA. Recuperado de http://lml.bas.bg/ranlp2015/docs/RANLP_main.pdf -
NLM
Maziero EG, Hirst G, Pardo TAS. Semi-supervised never-ending learning in rhetorical relation identification [Internet]. Proceedings. 2015 ;[citado 2026 fev. 11 ] Available from: http://lml.bas.bg/ranlp2015/docs/RANLP_main.pdf -
Vancouver
Maziero EG, Hirst G, Pardo TAS. Semi-supervised never-ending learning in rhetorical relation identification [Internet]. Proceedings. 2015 ;[citado 2026 fev. 11 ] Available from: http://lml.bas.bg/ranlp2015/docs/RANLP_main.pdf - Clustering and hierarchical organization of opinion aspects: a corpus study
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- Update summarization for portuguese
- Rearrangement and creation of new corpora for update and compressive summarization tasks for portuguese language
- Update summarization: building from scratch for Portuguese and comparing to English
- Hierarchical clustering of aspects for opinion mining: a corpus study
- Multi-document summarization using semantic discourse models
- Estratégias de seleção de conteúdo com base na CST (cross-document structure theory) para sumarização automática multidocumento
- Identifying multidocument relations
- Learning sentence reduction rules for brazilian portuguese
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