Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A pilot randomized controlled trial of mentalization-based treatment and structured clinical management for outpatients with borderline personality disorder in South Korea.

Borderline personality disorder and emotion dysregulation·2026

Same author

Sweat glands in action: the role of biological and environmental factors, exercise, and dermatologic conditions in sudomotor function.

The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology·2026

Same author

Vision based feedback control of weatherstrip coextrusion with predictive dimension modeling.

Scientific reports·2026

Same author

Hospital Surgical Volume and Regional Disparities in Congenital Heart Surgery Outcomes: Analysis of Korean National Health Insurance Claims Data, 2002-2021.

Medicina (Kaunas, Lithuania)·2026

Same author

Long-wavelength oblique back-illumination microscopy for deep <i>in vivo</i> imaging.

Biomedical optics express·2026

Same author

Sodium-glucose cotransporter 2 inhibitor ameliorates thiazolidinedione-induced fluid retention through vascular leakage reduction in white adipose tissue.

Diabetes, obesity & metabolism·2025

Search research articles

Related Experiment Video

Updated: Aug 13, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Building an annotated corpus for automatic metadata extraction from multilingual journal article references.

Wonjun Choi¹, Hwa-Mook Yoon¹, Mi-Hwan Hyun¹

¹Digital Curation Center, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea.

|January 20, 2023

Summary

This summary is machine-generated.

This study introduces a new multilingual corpus and a BERT-based model for automatically extracting bibliographic metadata from academic references. The model significantly improves extraction accuracy, especially for Korean references, overcoming limitations of existing tools.

More Related Videos

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Related Experiment Videos

Last Updated: Aug 13, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Area of Science:

Bibliometrics
Computational Linguistics
Information Science

Background:

Bibliographic references are crucial for connecting scholarly studies and enabling citation information services.
Manual extraction of reference metadata is costly and time-consuming.
Existing automated tools like GROBID have limitations in language support and metadata extraction capabilities.

Purpose of the Study:

To construct a high-quality corpus for automatically extracting metadata from multilingual journal article references.
To develop and evaluate a BERT-based transfer-learning model for enhanced metadata extraction.
To compare the performance of the BERT-based model against existing tools like GROBID.

Main Methods:

Construction of a large-scale multilingual reference corpus (3,815,987 references).
Training and evaluation of a BERT-based transfer-learning model using the constructed corpus.
Comparative performance analysis between the BERT-based model and GROBID.

Main Results:

The BERT-based model demonstrated excellent performance in extracting metadata from multilingual references, including English and Korean.
The model significantly outperformed GROBID in metadata extraction accuracy.
The developed corpus contains labels for 13 different metadata types.

Conclusions:

A high-quality multilingual corpus and a BERT-based model can effectively automate the extraction of bibliographic metadata.
This approach overcomes the language and performance limitations of existing tools.
The developed resources facilitate more efficient scholarly information services and research analysis.