Jungwoo Lim
Jungwoo Lim
NLP & AI Lab., Korea University

About Me

I’m interested in Commonsense Knowledge, Reasoning, Dialogue System and Question and Answering. Currently, I am a graduate student and advised by Prof. Heuiseok Lim in the NLP & AI Lab.

Contact: dlawjddn803@gmail.com / wjddn803@korea.ac.kr

Please check my CV and Google Scholar!


Academic Works & News

07/2024 Invited to serve as a Reviewer for EMNLP 2024
03/2024 Received a Integrated Talent Scholarship from Brain Korea FOUR 21 (BK21)
02/2024 Our paper on CED (Critical Error Detection) is accepted at LREC-COLING 2024!
10/2023 3 of our papers got accepted at EMNLP 2023
09/2023 Invited to serve as a Reviewer for Expert Systems With Applications
06/2023 Invited to serve as a Reviewer for EMNLP 2023
01/2023 Invited to serve as a Reviewer for ACL 2023
10/2022 Hosted “The 1st Workshop on Customized Chat Grounding Persona and Knowledge” at COLING 2022
07/2022 Invited to serve as a Reviewer for EMNLP 2022


Research Interest

  • Dialogue System
  • Relation Extraction
  • Vision & Language
  • Visual Reasoning
  • Commonsense Knowledge
  • Semantic Representation


Awards and Honors

  • Best Research Award at Korea University (2023.02)
  • Best Paper Award in The 34th Annual Conference on Human and Language Technology (2022.10)
  • The Tenth Dialog System Technology Challenge (DSTC10), 3rd place in Subtask 1, Track 2 Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations (2021.10)
  • Best Paper Award in The 32th Annual Conference on Human and Language Technology (2020.10)
  • The 8th Financial Style Visualization Competition using KCB Data (Korea Credit Bureau), 5th place (2019.08)
  • The 5th L.POINT Big Data Competition, Excellence award (2019.02)
  • The 4th Meteorological Agency Big Data Contest, Encouragement award (2018.08)


Education

  • Korea University (2019/09 ~ 2024/08)
    • M.S & Ph.D in Computer Science and Engineering
  • Sungkyunkwan University (2015/03 ~ 2019/08)
    • B.S in Library and Information Science and Data Science


Research Projects

  • MIRI.DIH (2024.02 ~ Current)
    • Developing image retrieval services for the users
    • Exploring the relative image components for the canvas
  • Samsung Fire & Marine Insurance (2023.07 ~ 2023.12)
    • Explored new services for enhancing digital competitiveness
    • Worked with UX/UI designers and introducing new services with MVP model
  • Naver Corporation (2022.07 ~ 2023.03)
    • Built a very first Korean document-level relation extraction dataset from the Naver Corp’s Encyclopedia documents.
    • Developed the model that classifies the relations between two entities within the document by learning coreference-resolution, entity typing, and relation extraction and outperforms the baseline performances
  • Hyundai Motor Company (2021.06 ~ 2022.03)
    • Developed a model that captures the intention of the utterance and fills the slot value into the corresponding slots with the data from Hyundai Motor Company
    • Used multi-tasking training on language model to enhance the performance of intent classification and to predict the slot value simultaneously
  • NCSoft Company (2020.06 ~ 2022.12)
    • Created a new dialogue dataset that grounds users’ persona and knowledge using Amazon Mechanical Turk (FoCus)
    • Built an enhanced dialogue system that informs the user about the Wikipedia knowledge of certain landmarks based on the users’ persona with the created dataset


Publication

International Conference

International Journal

Domestic Conference

  • Audio-Visual Scene Aware Dialogue System Utilizing Action From Vision and Language Features
    The 35th Annual Conference on Human & Cognitive Language Technology (HCLT 2023)
    Jungwoo Lim, Yoonna Jang, Junyoung Son, Seungyoon Lee, Kinam Park and Heuiseok Lim
  • Dialogue Relation Extraction using Dialogue Graph [Best Paper]
    The 34th Annual Conference on Human & Cognitive Language Technology (HCLT 2022)
    Jungwoo Lim, Junyoung Son, Jinsung Kim, Yuna Hur, Jaehyung Seo, Yoonna Jang, Jungbae Park and Heuiseok Lim
  • Analysis on Question Understanding of Language Models using Clever Hans Tests
    The 33rd Annual Conference on Human & Cognitive Language Technology (HCLT 2021)
    Jungwoo Lim, Donsuk Oh, Sungjin Park, Taesun Whang, Midan Shim, Suhyune Son, Yujin Kim and Heuiseok Lim
  • Commonsense Graph Path Learning Model for OpenBook Question and Answering [Best Paper]
    The 32nd Annual Conference on Human & Cognitive Language Technology (HCLT 2020)
    Jungwoo Lim, Donsuk Oh, Yoonna Jang, Kisu Yang, Heuiseok Lim
  • Hyperpartisan news Detection using Sentence BERT Embedding
    The 31st Annual Conference on Human & Cognitive Language Technology (HCLT 2019)
    Jungwoo Lim, Taesun Whang, Dongsuk Oh, Kisu Yang, Heuiseok Lim

Domestic Journal