eprintid: 4175
rev_number: 7
eprint_status: archive
userid: 307
dir: disk0/00/00/41/75
datestamp: 2020-12-08 09:17:04
lastmod: 2020-12-08 09:17:04
status_changed: 2020-12-08 09:17:04
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Ngoc Vu
creators_name: Tran, Mai Vu
creators_name: Nguyen, Hai Chau
creators_name: Ha, Quang Thuy
creators_id: vunnciren@gmail.com
creators_id: vutm@vnu.edu.vn
creators_id: chaunh@vnu.edu.vn
creators_id: thuyhq@vnu.edu.vn
corp_creators: Trường Đại học Công nghệ, ĐHQGHN
corp_creators: Cục CNTT, Bộ Tài nguyên và Mội trường
title: A Word + Character Embedding based Relation Extraction Frame for Domain Ontology of Natural Resources and Environment
ispublished: inpress
subjects: IT
divisions: fac_fit
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.
date: 2020-12-16
date_type: published
official_url: https://icatse.org/icisa2020/
full_text_status: public
pres_type: paper
event_title: 11th International Conference on Information Science and Applications 2020 (ICISA2020)
event_location: Virtual Conference
event_dates: 16-18th December, 2020
event_type: conference
refereed: FALSE
related_url_url: https://icatse.org/icisa2020/2020/11/27/the-program-draft-has-been-posted/
related_url_type: org
citation:   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)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4175/1/20_ICISA2020_program.pdf