Biography
- 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.
Careers
(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.
Journal Papers
◾ 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)
◾ Lightweight image steganalysis with block-wise pruning, SCIENTIFIC REPORTS, vol.13 No.1, 2023임경태
◾ Data Augmentation of X-ray Images for Automatic Cargo Inspection of Nuclear Items, SENSORS, vol.23 No.17, 2023임경태
◾ Korean Named Entity Recognition Based on Language-Specific Features, Natural Language Engineering, 2023임경태
Conference Papers
◾ 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)
◾ 원인호, 설재욱, 유한결, 김상민, 임경태, 과학기술 분야 질의응답을 위한 언어모델 튜닝, 제3차 실용인공지능학회 학술대회, 대전컨벤션센터 (DCC) 제 1 전시장, 중회의장 (1F) , 2023임경태
◾ 김민준·송승우·나현우·김은경·임경태, 지식 그래프 임베딩을 활용한 시각정보 기반 질의응답, 한국정보과학회 2023 한국컴퓨터종합학술대회 논문집, 라마다프라자제주호텔, 2023임경태
◾ 김상민·육정훈·최경순·임경태·김은경, Multi-label 특허 분류를 위한 다중분류와 이진분류 비교, 한국정보과학회 2023 논문집, 라마다프라자제주호텔, 2023임경태
◾ 송승우·김민준·이현빈·임경태, Categorical 정보를 활용한 시각정보 기반 자동 질의 생성, 한국정보과학회 2023 논문집, 라마다프라자제주호텔, 2023임경태
◾ 함영균·윤찬혁·정용빈·강예지·박서윤·이이슬·임경태, 한국어 속성 기반 감성 분석을 위한 GPT-4 프롬프팅 기반 데이터 증강 방법 분석, 한국정보과학회 2023 논문집, 라마다프라자제주호텔, 2023임경태
◾ 임현석·최창수·박주한·김은경·임경태, Binary Visual Reasoning Data Based on Semantic Similarity, 한국정보과학회 2023 논문집, 라마다프라자제주호텔, 2023임경태
Awarded
◾ 지식그래프 임베딩을 활용한 시각정보 기반 질의응답, 2023 한국컴퓨터종합학술대회 우수발표논문상, 한국정보과학회, 2023임경태
Miscellaneous
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
Faculty
