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Jong Park

Professor @ KAIST

model compression

dataset

social media

nlp

conversational question answering

calibration

confidence

uncertainty

ambiguity

question-answering

realistic evaluation

tigrinya

low-resourced language

africa

mental disorder

6

presentations

15

number of views

1

citations

SHORT BIO

Jong Park received his BE and MSE degrees from Seoul National University and PhD degree from the University of Pennsylvania, Philadelphia. He has been working as Assistant, Associate and Full Professor at Korea Advanced Institute of Science and Technology (KAIST) since 1998. He is one of the early researchers on BioNLP, applying NLP techniques to biology and medicine. His research team at KAIST has also been working broadly on identifying emotion from text, turning spoken language into visual animation and sign language, identifying mental health issues such as mild-cognitive impairment (MCI) and clinical depression from natural language utterances, detecting abusive language, and, more recently, credibility assessment and bidirectional sign language processing. His team has received Outstanding Paper Award at ACL 2023 for the work on the Tigrinya language. He is serving as founding Editor-in-Chief of Journal of Computing Science and Engineering (JCSE) since 2007, President of Asian Federation of Natural Language Processing (AFNLP) during 2022~2024, and General Chair of IJCNLP-AACL 2023.

Presentations

Human-Centric Natural Language Processing | VIDEO

Jong Park

A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires

Hoyun Song and 3 other authors

Question-Answering in a Low-resourced Language: Benchmark Dataset and Models for Tigrinya

Fitsum Gaim and 3 other authors

Deep Model Compression Also Helps Models Capture Ambiguity

Hancheol Park and 1 other author

Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement

Soyeong Jeong and 3 other authors

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