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A Word + Character Embedding based Relation Extraction Frame for Domain Ontology of Natural Resources and Environment

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)

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: Hà Quang Thụy
Date Deposited: 08 Dec 2020 09:17
Last Modified: 08 Dec 2020 09:17
URI: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/4175

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