relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4175/
title: A Word + Character Embedding based Relation Extraction Frame for Domain Ontology of Natural Resources and Environment
creator: Nguyen, Ngoc Vu
creator: Tran, Mai Vu
creator: Nguyen, Hai Chau
creator: Ha, Quang Thuy
subject: Information Technology (IT)
description: 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.
date: 2020-12-16
type: Conference or Workshop Item
type: NonPeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4175/1/20_ICISA2020_program.pdf
identifier:   Nguyen, Ngoc Vu and Tran, Mai Vu and Nguyen, Hai Chau and Ha, Quang Thuy  (2020) A Word + Character Embedding based Relation Extraction Frame for Domain Ontology of Natural Resources and Environment.  In: 11th International Conference on Information Science and Applications 2020 (ICISA2020), 16-18th December, 2020, Virtual Conference.    (In Press)  
relation: https://icatse.org/icisa2020/