Evaluación de Modelos Semánticos Distribucionales para la Extracción de Relaciones Semánticas Activadas por Ríos con Nombre Propio de un Corpus Especializado de Pequeño Tamaño
ISSN: 1135-5948
Year of publication: 2019
Issue: 63
Pages: 51-58
Type: Article
More publications in: Procesamiento del lenguaje natural
Abstract
EcoLexicon (http://ecolexicon.ugr.es) is a terminological knowledge base on environmental science, whose design permits the geographic contextualization of data. For the geographic contextualization of landform concepts such as named rivers (e.g., Nile River), distributional semantic models (DSMs) were applied to a small-sized, specialized corpus to extract the terms related to each named river mentioned in it and their semantic relations. Since the construction of DSMs is highly parameterized and their evaluation in small specialized corpora has received little attention, this paper identified parameter combinations in DSMs suitable for the extraction of the semantic relations takes_place_in, affects, and located_at, frequently held by named rivers in the corpus. The models were thus evaluated using three gold standard datasets. The results showed that, for a small-sized corpus, count-based models outperformed prediction-based ones with the log-likelihood association measure, and the detection of a specific relation depended largely on the context window size. |
Funding information
This research was carried out as part of project FFI2017-89127-P, Translation-Oriented Terminology Tools for Environmental Texts (TOTEM), funded by the Spanish Ministry of Economy and Competitiveness. Funding was also provided by an FPU grant given by the Spanish Ministry of Education to the first author.Funders
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