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Improving term extraction by combining different techniques

Autor
Vivaldi, J.; Rodriguez, H.
Tipus d'activitat
Article en revista
Revista
Terminology (Amsterdam)
Data de publicació
2001-01-01
Volum
7
Número
1
Pàgina inicial
31
Pàgina final
48
DOI
https://doi.org/10.1075/term.7.1.04viv Obrir en finestra nova
URL
http://www.jbe-platform.com/content/journals/10.1075/term.7.1.04viv Obrir en finestra nova
Resum
Two different reasons suggest that combining the performance of several term extractors could lead to an improvement in overall system accuracy. On the one hand, there is no clear agreement on whether to follow statistical, linguistic or hybrid approaches for (semi-) automatic term extraction. On the other hand, combining different knowledge sources (e.g. classifiers) has proved successful in improving the performance of individual sources on several NLP tasks (some of them closely related to or...
Paraules clau
medicine., semantic data, statistics, term extraction
Grup de recerca
GPLN - Grup de Processament del Llenguatge Natural
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla

Participants