research-article

Vietnamese Open Information Extraction

Authors:

Uyen Trang NguyenAuthors Info & Claims

SoICT '17: Proceedings of the 8th International Symposium on Information and Communication Technology

Pages 135 - 142

https://doi.org/10.1145/3155133.3155171

Published: 07 December 2017 Publication History

Abstract

Open information extraction (OIE) is the process to extract relations and their arguments automatically from textual documents without the need to restrict the search to predefined relations. In recent years, several OIE systems for the English language have been created but there is not any system for the Vietnamese language. In this paper, we propose a method of OIE for Vietnamese using a clause-based approach. Accordingly, we exploit Vietnamese dependency parsing using grammar clauses that strives to consider all possible relations in a sentence. The corresponding clause types are identified by their propositions as extractable relations based on their grammatical functions of constituents. As a result, our system is the first OIE system named vnOIE for the Vietnamese language that can generate open relations and their arguments from Vietnamese text with highly scalable extraction while being domain independent. Experimental results show that our OIE system achieves promising results with a precision of 83.71%.

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Cited By

Phan TDo P(2022)BERT-TRIPLE: Using BERT for Extracting Triples from Vietnamese Sentences2022 RIVF International Conference on Computing and Communication Technologies (RIVF)10.1109/RIVF55975.2022.10013791(179-184)Online publication date: 20-Dec-2022
https://doi.org/10.1109/RIVF55975.2022.10013791
Phan TDo P(2021)Building a Vietnamese question answering system based on knowledge graph and distributed CNNNeural Computing and Applications10.1007/s00521-021-06126-z33:21(14887-14907)Online publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1007/s00521-021-06126-z
To HDo P(2020)Extracting triples from Vietnamese text to create knowledge graph2020 12th International Conference on Knowledge and Systems Engineering (KSE)10.1109/KSE50997.2020.9287471(219-223)Online publication date: 12-Nov-2020
https://doi.org/10.1109/KSE50997.2020.9287471
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cover image ACM Other conferences

SoICT '17: Proceedings of the 8th International Symposium on Information and Communication Technology

December 2017

486 pages

ISBN:9781450353281

DOI:10.1145/3155133

General Chairs:
Huynh Quyet Thang
HUST, Vietnam
,
Zhenjiang Hu
NII, Japan
,
Program Chairs:
Marc Bui
EPHE, France
,
Biplab Sikdar
NUS, Singapore
,
Ichiro IDE
Nagoya, Japan
,
Huynh Thi Thanh Binh
HUST, Vietnam
,
Publications Chairs:
Worrawat Engchuan
Canada
,
Dinh Viet Sang
HUST, Vietnam
,
Nguyen Thi Oanh
HUST, Vietnam

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SOICT: School of Information and Communication Technology - HUST
NAFOSTED: The National Foundation for Science and Technology Development

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2017

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SoICT 2017

SoICT 2017: The Eighth International Symposium on Information and Communication Technology

December 7 - 8, 2017

Nha Trang City, Viet Nam

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Cited By

Phan TDo P(2022)BERT-TRIPLE: Using BERT for Extracting Triples from Vietnamese Sentences2022 RIVF International Conference on Computing and Communication Technologies (RIVF)10.1109/RIVF55975.2022.10013791(179-184)Online publication date: 20-Dec-2022
https://doi.org/10.1109/RIVF55975.2022.10013791
Phan TDo P(2021)Building a Vietnamese question answering system based on knowledge graph and distributed CNNNeural Computing and Applications10.1007/s00521-021-06126-z33:21(14887-14907)Online publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1007/s00521-021-06126-z
To HDo P(2020)Extracting triples from Vietnamese text to create knowledge graph2020 12th International Conference on Knowledge and Systems Engineering (KSE)10.1109/KSE50997.2020.9287471(219-223)Online publication date: 12-Nov-2020
https://doi.org/10.1109/KSE50997.2020.9287471
Claro DSouza MCastellã Xavier COliveira L(2019)Multilingual Open Information Extraction: Challenges and OpportunitiesInformation10.3390/info1007022810:7(228)Online publication date: 2-Jul-2019
https://doi.org/10.3390/info10070228

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