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한밭대학교컴퓨터공학과

 
HIGHHANBAT

미래가치를 창출하는 글로컬 산학일체 혁신대학

AAI(응용인공지능랩)

응용인공지능랩
AAI

실험실 소개

  • 연구실소개: 응용인공지능 연구실은 인공지능 기술을 실생활에 적용하는 실용적인 연구를 합니다.
  • 연구분야: 자연어처리, 멀티모달 시스템, 빅데이터 분석 분야
  • 연구주제: Dialogue System (챗봇), Visual Question Answering (질의응답), Machine Translation (기계번역), and Dependency Parsing (구문분석)
  • 지향점: 국제 인공지능 경진대회 수상, 우수 인공지능학회 논문발표

지도교수 : 임경태

논문

  • 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)

  • KyungTae Lim and Jungyeul Park. Part-of-Speech Tagging Using Multiview Learning. IEEE Access (2020), Volume 8, 195184 - 195196. (SCIE)

  • 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)
  • 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.
  • 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.

특허

  • 자동 질의생성 기술 (출원중)

  • 인간과 기계의 상호작용을 통한 시각정보기반 질의응답 챗봇 (출원중)