%A Ngoc Vu Nguyen
%A Mai Vu Tran
%A Hai Chau Nguyen
%A Quang Thuy Ha
%T A Word + Character Embedding based Relation Extraction Frame for Domain Ontology of Natural Resources and Environment
%X Building domain ontology is a challenging problem, and there are many different approaches for domain ontology construction. However, most of these approaches are still mainly using manual methods [1]. Ontology enrichment is a fairly standard approach in domain ontology construction, in which semi-automated methods and automated methods of ontology learning from a derived ontology. Relation extraction is one of the ways for ontology enrichment. Relation extraction techniques include law-based techniques, machine learning-based techniques with three typical methods: supervised learning, semi-supervised learning, and unsupervised learning. This paper proposes a word + character embedding-based relation extraction frame for the Vietnamese domain ontology of natural resources and environment. The model's effect was demonstrated by experiments in the domain of natural resources and the envi-ronment and achieving promising results.
%C Virtual Conference
%D 2020
%L SisLab4175