The main challenge of semi-automatic term extraction methods (2015)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; REZENDE, SOLANGE OLIVEIRA - ICMC
- Unidade: ICMC
- Subjects: INTELIGÊNCIA ARTIFICIAL; PROCESSAMENTO DE LINGUAGEM NATURAL
- Language: Inglês
- Imprenta:
- Publisher: De Gruyter
- Publisher place: Berlin
- Date published: 2015
- Source:
- Título do periódico: Proceedings
- Conference titles: International Workshop on Natural Language Processing and Cognitive Science - NLPCS
-
ABNT
CONRADO, Merley S e PARDO, Thiago Alexandre Salgueiro e REZENDE, Solange Oliveira. The main challenge of semi-automatic term extraction methods. 2015, Anais.. Berlin: De Gruyter, 2015. . Acesso em: 19 abr. 2024. -
APA
Conrado, M. S., Pardo, T. A. S., & Rezende, S. O. (2015). The main challenge of semi-automatic term extraction methods. In Proceedings. Berlin: De Gruyter. -
NLM
Conrado MS, Pardo TAS, Rezende SO. The main challenge of semi-automatic term extraction methods. Proceedings. 2015 ;[citado 2024 abr. 19 ] -
Vancouver
Conrado MS, Pardo TAS, Rezende SO. The main challenge of semi-automatic term extraction methods. Proceedings. 2015 ;[citado 2024 abr. 19 ] - Applying transductive learning for automatic term extraction: the case of the ecology domain
- Identificación de términos a partir de enumeraciones sintagmáticas nominales: una aplicación al dominio médico
- A machine learning approach to automatic term extraction using a rich feature set
- Exploration of a rich feature set for automatic term extraction
- A survey of automatic term extraction for brazilian portuguese
- Extracción terminológica en el dominio médico a partir del reconocimiento de sintagmas nominales
- Experiments on term extraction using noun phrase subclassifications
- Extracting multiword expressions using enumerations of noun phrases in specialized domains: first experiences
- Métodos para análise discursiva automática
- Trapezio - Translation Post Editor: um ambiente de pós-edição de
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