Career Profile

As a PhD student on NLP, my research mainly focuses on entity-based coherence modeling. It also deals with interpretability and efficiency of neural models.


PhD in Computational Linguistics: Heidelberg University, Germany

2018.11 - Now (until 2023.12)
  • Topic: Entity-based coherence modeling -- What is the meaning of well-written texts?
  • Conducting research at Heidelberg Institute for Theoretical Studies
  • Advisor: Prof. Michael Strube

MSc in Computer Science: Pohang University of Science and Technology, South Korea

2011 - 2013

BSc in Computer Science: Pusan National University, South Korea

2007 - 2011
  • Best Graduation Assignment Award: Detecting Counter Attack through Trajectory Analysis in Soccer Video


Internship: Research Scientist; Meta AI, Menlo Park, US

2022.12 - 2023.03
  • Project: Efficient transformer architecture for pre-training audio language models
  • Org: Generative AI

Internship: Applied Scientist; Amazon Alexa AI, Seattle, US

2022.06 - 2022.09
  • Project: Intepretability of neural models with attention and grammatical information
  • Org: Natural language understanding - skill routing

Visiting Researcher: L3S Research Center, TU Darmstadt, Germany

2018.01 - 2018.10
  • Project: Multi-Document Summarization with External Knowledge; Tobias Falke, Prof. Iryna Gurevych [slides]
  • Project: iASIS Knowledge Graph; Prof. Soren Auer

Research Engineer: ETRI, South Korea

2013 - 2017
  • Task: Data analysis for computer security; network traffic, web-page, and audio data
  • Public: Leading to publish 3 US patents of systems and 2 research papers as the first author

Selected Publications

Entity-based Neural Local Coherence Modeling

  • Sungho Jeon, Michael Strube
  • The 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022
  • [Paper] [Code]

Countering the Influence of Essay Length in Neural Essay Scoring

  • Sungho Jeon, Michael Strube
  • The Second Workshop on Sustainable NLP (SustaiNLP), 2021
  • [Paper] [Code]

Centering-based Neural Coherence Modeling with Hierarchical Discourse Segments

  • Sungho Jeon, Michael Strube
  • The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
  • [Paper] [Video] [Code]

Incremental Neural Lexical Coherence Modeling

  • Sungho Jeon, Michael Strube
  • The 28th International Conference on Computational Linguistics (COLING), 2020
  • [Paper] [Video] [Code]

Empirical Study of Drone Sound Detection in Real-Life Environment with Deep Neural Networks

  • Sungho Jeon, Jong-Woo Shin, Young-Jun Lee, ..., Hae-Yong Yang
  • The 26th European Signal Processing Conference (EUSIPCO), 2017
  • [Paper] [Code]


  • Peer Reviewer
    EMNLP21∼, ACL21∼, COLING20∼, CODI20∼
  • Service
    Publicity Chair: EACL24