소프트웨어융합대학 - 인공지능융합학과

  • 조교수 자연어처리
  • 박진영 홈페이지 바로가기
    Lab HLILab

관심분야

인공지능, 기계학습, 자연어처리

학력

  • KAIST
  • SKKU

약력/경력

  • Junior Data Scientist, United Nations Global Pulse Lab
  • Research Intern, Microsoft Research Asia

학술지 논문

  • (2021)  BERT 기반 회의록 내 리더 의사 결정 분류 모델.  정보과학회논문지.  48,  5

학술회의논문

  • (2024)  PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models.  Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.  멕시코
  • (2023)  Diversity Enhanced Narrative Question Generation for Storybooks.  Empirical Methods in Natural Language Processing.  싱가포르
  • (2023)  From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models.  Empirical Methods in Natural Language Processing.  싱가포르
  • (2023)  Conversational Emotion-Cause Pair Extraction with Guided Mixture of Experts.  European Association for Computational Linguistics.  크로아티아
  • (2021)  Knowledge-Enhanced Evidence Retrieval for Counterargument Generation.  Findings of EMNLP 2021.  도미니카 공화국
  • (2021)  Controlled Molecule Generator for Optimizing Multiple Chemical Properties.  Proceedings of the Conference on Health, Inference, and Learning.  미국
  • (2020)  Speaker Sensitive Response Evaluation Model.  Annual Meeting of the Association for Computational Linguistics.  미국
  • (2019)  Variational Hierarchical User-based Conversation Model.  Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP).  홍콩
  • (2018)  Speech Emotion Classification using Raw Audio Input and Transcriptions.  International Conference on Signal Processing and Machine Learning.  중국
  • (2018)  Conversational Decision-Making Model for Predicting the King’s Decision in the Annals of the Joseon Dynasty.  Empirical Methods in Natural Language Processing.  벨기에
  • (2017)  Rotated Word Vector Representations and their Interpretability.  Empirical Methods in Natural Language Processing.  덴마크
  • (2017)  Itchtector: A Wearable-based Mobile System for Managing Itching Conditions.  ACM Conference on Human Factors in Computing Systems.  미국