Mi-Young Kim, University of Alberta

Research

Knowledge Acquisition Natural Language Processing Semantic Inference and Reasoning Semantic Understanding of Language Textual Entailment

Latest papers

The COLIEE 2025 Competition on Legal Information Extraction and Entailment: Overview, Discussion, and Dataset Expansion.
The review of socionetwork strategies · 2026
Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn's disease patients.
NPJ digital medicine · 2025
Legal Information Retrieval and Entailment Using Transformer-based Approaches.
The review of socionetwork strategies · 2024 · first author

All 5 publications

Latest funding

From Data to Decision (fD2D): Artificial Intelligence from Data Value Chain to Human Value
NSERC · 2022 · Co-investigator
$629,300
Explainable Artificial Intelligence that Understands Human Language
NSERC · 2022 · Principal investigator
$75,000
Explainable Artificial Intelligence that Understands Human Language
NSERC · 2022 · Principal investigator
$12,500

All 3 grants and awards

5 publications.

01

The COLIEE 2025 Competition on Legal Information Extraction and Entailment: Overview, Discussion, and Dataset Expansion.

Goebel R, Kano Y, Kim MY, Kwan C, Rabelo J, Satoh K, Yamada H, Yoshioka M

The review of socionetwork strategies2026

DOI: 10.1007/s12626-026-00199-9 PMID: 42023121

02

Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn's disease patients.

Dai J, Kim MY, Sutton RT, Mitchell JR, Goebel R, Baumgart DC

NPJ digital medicine2025

DOI: 10.1038/s41746-025-01729-5 PMID: 40442294

03

Legal Information Retrieval and Entailment Using Transformer-based Approaches.

Kim MY, Rabelo J, Babiker HKB, Rahman MA, Goebel R

The review of socionetwork strategies2024First author

DOI: 10.1007/s12626-023-00153-z PMID: 38646589

04

Overview and Discussion of the Competition on Legal Information, Extraction/Entailment (COLIEE) 2023.

Goebel R, Kano Y, Kim MY, Rabelo J, Satoh K, Yoshioka M

The review of socionetwork strategies2024

DOI: 10.1007/s12626-023-00152-0 PMID: 38646588

05

Legal Information Retrieval and Entailment Based on BM25, Transformer and Semantic Thesaurus Methods.

Kim MY, Rabelo J, Okeke K, Goebel R

The review of socionetwork strategies2022First author

DOI: 10.1007/s12626-022-00103-1 PMID: 35535319

From Data to Decision (fD2D): Artificial Intelligence from Data Value Chain to Human Value

Co-investigatorNSERC2022Collaborative Research and Training Experience

Principal investigators: Goebel, Randy RG

Keywords: artificial intelligence; comuting science; decision support; knowledge representation; machine learning; medecine; privacy and ethics; security; social intelligence

$629,300

Explainable Artificial Intelligence that Understands Human Language

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Kim, Mi-Young

Keywords: natural language processing; semantic inference and reasoning; textual entailment; semantic understanding of language; knowledge acquisition

$75,000

Explainable Artificial Intelligence that Understands Human Language

Principal investigatorNSERC2022Discovery Launch Supplement

Principal investigators: Kim, Mi-Young

$12,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Randy Goebel

Computing Science

4 shared papers, latest 2026

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2022

Subject: Prospective PhD student: Knowledge Acquisition Dear Professor Kim, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "The COLIEE 2025 Competition on Legal Information Extraction and Entailment: Overview, Discussion, and Dataset Expansion." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Explainable Artificial Intelligence that Understands Human Language" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]