학력
- Doctoral: École Normale Supérieure (ENS), Paris-France, Major : Language Science, Multilingual Dependency Parsing and Natural Language Understanding. Advisor : Prof. Thierry Poibeau (LATTICE, ENS)
- Master: Korea Advanced Institute of Science and Technology (KAIST), Korea, Major : Computer Science, Natural Language Processing. Advisor : Prof. Key-Sun Choi.
- Bachelor: Dankook University, South Korea. Computer Science.
주요 경력
(2023 ~ ) Assistant Professor, Seoul National University of Science and Technology, Department of Applied Artificial Intelligence, Korea.
(2021 ~ 2023 ) Assistant Professor, Hanbat National University, Computer Engineering, Korea.
(2020 ~ 2021) Senior Researcher, Korea Atomic Energy Research Institute (KAERI), Korea.
(2019) Research Internship, Amazon Research Cambridge - Alexa Machine Learning, Natural Language Understanding, Cambridge-England.
(2014 ~ 2016) Researcher, Korea Institute of Science and Technology Information (KISTI), Korea
(2010 ~ 2012) Software Engineer, SamSung SDS, Korea.
저널 논문
◾ KyungTae Lim, Jayoung Song and Jungyeul Park. Neural automated writing evaluation for Korean L2 writing. Natural Language Engineering on July 2022. (SSCI, A&HCI Q1)
◾ KyungTae Lim and Jungyeul Park. Real-world Sentence Boundary Detection using Multi-Task Learning: A case study on French. Natural Language Engineering. April 2022 (SSCI, A&HCI Q1)
◾ Cheoneum Park, KyungTae Lim and Changki Lee. Multi-task Learning with Sentence Contextual Hierarchical Attention for Korean Coreference Resolution. Journal of Supercomputing on August 27, 2020. (Under Review, SCIE)
◾ KyungTae Lim, Yige Chen, Jungyeul Park. Korean Named Entity Recognition Based on Language Specific Features. Submitted to ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) on May 23, 2020. (Under Revision, SCIE)
◾ KyungTae Lim and Jungyeul Park. Part-of-Speech Tagging Using Multiview Learning. IEEE Access (2020), Volume 8, 195184 - 195196. (SCIE)
◾ KyungTae Lim, Niko Partanen, and Thierry Poibeau. Analyse syntaxique de langues faiblement dotées à partir de plongements de mots multilingues. Traitement Automatique des Langues, ATALA, Traitement automatique des langues peu dotées (2018), 59 (3), pp.67-91. (SCOPUS)
◾ KyungTae Lim, Myung-Seok Yang, Nam-Kyu Kang and Gwang-Nam Choi A Study of Historical Importance Using Wikipedia Link Structure. International Information Institute (Tokyo). Information, 19.1 (2016) : 55. (SCOPUS)
◾ KyungTae Lim, YoungGyun Hahm, Martin Rezk, Jungyeul Park, Yongun Yoon and Key-Sun Choi Enrichment of DBpedia by Linking Korean WordNet and Improving Web Resource Accessibility. Journal of Korean Institute of Information Scientists and Engineers (2013), Volume 19, Number 9, 474-478. (SCOPUS)
학술대회
◾ Yige Chen, Eunkyul Leah Jo, Yundong Yao, KyungTae Lim*, Miikka Silfverberg, Francis M. Tyers, and Jungyeul Park. 2022. Yet Another Format of Universal Dependencies for Korean. In Proceedings of the 29th International Conference on Computational Linguistics, pages 5432–5437, International Committee on Computational Linguistics. (*Corresponding author) (COLING 2022, BK IF2)
◾ Youhan Lee, KyungTae Lim, Woonhyuk Baek, Byungseok Roh, and Saehoon Kim. 2022. Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss. In Proceedings of the 29th International Conference on Computational Linguistics, pages 5730–5744, International Committee on Computational Linguistics. (COLING 2022, BK IF2)
◾ Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Youngsook Song, Taehwan Oh, Joohong Lee, Juhyun Oh, Sungwon Ryu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho. KLUE: Korean Language Understanding Evaluation. (NIPS 2021, BK IF4)
◾ KyungTae Lim, Jay-Yoon Lee, Jaime Carbonell, and Thierry Poibeau. SemiSupervised Learning on Meta Structure : Multi-Task Tagging and Parsing in Low-Resource Scenarios. Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020, BK IF4)
◾ Stephen McGregor, KyungTae Lim. Affordances in Grounded Language Learning.Proceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing (CACLLP 2018). pp. 41-46.
◾ KyungTae Lim, Cheoneum Park, Changki Lee and Thierry Poibeau. SEx BiST : A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations. Proceedings of the CoNLL 2018 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies (CoNLL 2018)
◾ Niko Partanen, KyungTae Lim, Michael Rießler, and Thierry Poibeau. Dependency parsing of code-switching data with cross-lingual feature representations. In Proceedings of the Fourth International Workshop on Computatinal Linguistics of Uralic Languages. (IWLCL 2018). pages 1–17.
◾ KyungTae Lim, Niko Partanen, and Thierry Poibeau. 2018. Multilingual Dependency Parsing for LowResource Languages : Case Studies on North Saami and Komi-Zyrian. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan.
◾ KyungTae Lim, and Thierry Poibeau A System for Multilingual Dependency Parsing based on Bidirectional LSTM Feature Representations. Proceedings of the CoNLL 2017 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies (CoNLL 2017) : 63-70.
◾ KyungTae Lim, NamKyoo Kang, and Min-Woo Park A Study of URI Spotting for Question Answering over Linked Data (QALD). Intelligent Information Processing VIII : 9th IFIP TC 12 International Conference, IIP 2016, Melbourne, Australia, Proceedings 9. Springer International Publishing (2016).
◾ KyungTae Lim, YoungGyun Hahm, Martin Rezk, Jungyeul Park, Yongun Yoon and Key-Sun Choi Accessing Korean DBpedia resources for the Data Web. Korean Institute of Information Scientists and Engineers Conference (2012), Volume39, 2B, 112-114. (Best Paper)
연구프로젝트
인간-AI 상호작용을 통한 시각정보기반 질의응답
◾ 과제기간: 2021.06 ~ 2024.02 (총괄책임)
◾ 과제금액: 1.5억원
◾ 과제유형: 연구재단 위탁연구
시각 추론 기반의 거대 사전학습 모델 연구
◾ 과제기간: 2022.06 ~ 2023.03 (총괄책임)
◾ 과제금액: 2.5억원
◾ 과제유형: 기업용역연구
외부지식 기반 멀티모달 질의응답 데이터 구축 연구
◾ 과제기간: 2022.05 ~ 2022.12 (사업총괄책임)
◾ 과제금액: 총 19.8억원 중 2.25억
◾ 과제유형: NIA 위탁연구
원자력핵심 품목 식별알고리즘 연구
◾ 과제기간: 2022.05 ~ 2023.01 (총괄책임)
◾ 과제금액: 0.6억원
◾ 과제유형: 용역연구
인공지능 기반 지식그래프 관계 추천 연구
◾ 과제기간: 2022.05 ~ 2022.10 (총괄책임)
◾ 과제금액: 0.2억
◾ 과제유형: 용역연구
기타(학회활동 등)
Awards
◾ Challenge Winner, 2020 DramaQA, "Shared Task on Video Story Understanding at the VTT worshop placed in 16th European Conference on Computer Vision (ECCV)". https://dramaqa.snu.ac.kr/
◾ 1st (Information Extraction task), 2018 Extrinsic Parser Evaluation (EPE 2018), "Shared Task on Extrinsic Parser Evaluation (EPE 2018)". http://epe.nlpl.eu/
◾ 2nd (UAS), 4th (LAS), CoNLL 2018 Shared Task, "Multilingual Parsing from Raw Text to Universal Dependencies", first place of parsing English, French and Korean. CoNLL 2018 conference
◾ 5th, CoNLL 2017 Shared Task, "Multilingual Parsing from Raw Text to Universal Dependencies", second place of parsing English, Spanish and Russian. CoNLL 2017 conference.
◾ 1st, Award of Minister of Culture and Tourism of Korea, "NLP Hub", Korean Language Processing Competition. Hangul and Korean Language Processing Conference.
◾ Best Paper, Title: Methods of Transforming the Sejong Treebank to Improve Parser Performance. Korean Institute of Information Scientists and Engineers
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