Extraction of Terms Related to Named Rivers
Identificadores
URI: https://hdl.handle.net/10481/95213URI: https://hdl.handle.net/10481/95213
Metadatos
Mostrar el registro completo del ítemEditorial
MDPI
Materia
Named river Conceptual information extraction Geographic contextualization
Fecha
2019-06-272019-06-27
Referencia bibliográfica
Rojas-Garcia, J.; Faber, P. Extraction of Terms Related to Named Rivers. Languages 2019, 4, 46. https://doi.org/10.3390/languages4030046
Patrocinador
Project FFI2017-89127-P, Translation-Oriented Terminology Tools for Environmental Texts (TOTEM), funded by the Spanish Ministry of Economy and Competitiveness; FPU grant given by the Spanish Ministry of EducationResumen
EcoLexicon is a terminological knowledge base on environmental science, whose design
permits the geographic contextualization of data. For the geographic contextualization of landform
concepts, this paper presents a semi-automatic method for extracting terms associated with named
rivers (e.g., Mississippi River). Terms were extracted from a specialized corpus, where named rivers
were automatically identified. Statistical procedures were applied for selecting both terms and rivers
in distributional semantic models to construct the conceptual structures underlying the usage of
named rivers. The rivers sharing associated terms were also clustered and represented in the same
conceptual network. The results showed that the method successfully described the semantic frames
of named rivers with explanatory adequacy, according to the premises of Frame-Based Terminology.





