Seongmin Mun


My research interests include computational linguistics, machine learning, and data visualization system. I am currently working as an Assistant Professor at Kyungpook National University.

Google Scholar, Github, Scopus, Huggingface, Researchgate

seongminmun@knu.ac.kr

simon.seongmin.mun




Current affiliation



Kyungpook National University
80, Daehak-ro
Buk-gu, Daegu, Republic of Korea
Postal code: 41566





Working Experience


Assistant Professor, Kyungpook National University

March 2025 ~ Present

Conducts research analyzing various linguistic phenomena related to English from an engineering perspective and provides education on computational linguistics.

Research Assistant Professor, Ajou University

November 2022 ~ February 2025

Designed and developed an NLP-based data processing system to extract information of the human relationship network

Resources

PostDOC, Chosun University

August 2021 ~ October 2022

Designed and developed an eye tracking-based web experimental application, and word segmentation model by using syllable-based transitional probability

Graduate Student Researcher, Université Paris Nanterre

March 2016 ~ July 2021

Designed and developed language model-based recognition systems covering various topics (e.g., similarity-based estimator, multiword parser) and data visualization systems (e.g., PostEmbedding, PostBERT)

Research Assistant, Université Sorbonne Nouvelle Paris 3

November 2018 ~ February 2019

Designed and developed a web-based data archiving system for efficient handling and safe management of child language development records

Research Assistant, Université Paris 8

July 2018 ~ September 2018

Developed and launched COHA pre-trained models by using RoBERTa, and a data visualization system to evaluate the COHA pre-trained models

Resources

Models

Graduate Student Researcher, Ajou University

March 2014 ~ February 2016

Conducted statistical analysis for various data types (e.g., diagnosis records, movie reviews), and evaluated the obtained results by using data visualization systems (e.g., ParallelSentimentVis, SankyTree)




Education


Ph.D. in Sciences du Langage (NLP), Université Paris Nanterre

March 2016 ~ July 2021

Ph.D. graduation thesis

Title: "Polysemy resolution with word embedding models and data visualization: the case of adverbial postpositions -ey, -eyse, and -(u)lo in Korean"
Author: Seongmin Mun
Advisor: Guillaume Desagulier
Date of Conferment: 18.06.2021
Links: HAL theses, theses.fr

Resources

Cover, Manuscript, Summary





Service





Awards



Best Paper Award | Journal of Design Research; 2018 KSDS Fall International Conference; November 2018

Research Award from the Minister of Education | The Education Ministry of Korea; National Research Foundation of Korea; March 2018

Kantar Information is Beautiful Awards | Kantar; November 2016




Media


Domestic graduate students are published as a first author in a global journal | News 1 Korea, one of news media in Korea; March 2018

Ministry of Education holds 'BK21 Plus' award for outstanding researchers | Yonhap news, one of news media in Korea; March 2018

Leader of future, BK21 plus selected outstanding researcher in 2017 | Boan news, one of news media in Korea; March 2018

Ministry of Education selected outstanding researcher of 'BK21 Plus' | KNS, Korea News System, one of news media in Korea; March 2018

Ministry of Education selected 33 excellent researchers of BK21 plus | Asia today, one of news media in Korea; March 2018





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