Youngwoo Kim

youngwookim@cs.umass.edu

About Me 🎓

I am a postdoctoral researcher at University of Virginia working with Tom Hartvigsen and Steven L. Johnson .

My research interests include various aspects of natural language processing (NLP) and information retrieval (IR).

• PhD/MS, Computer Science, University of Massachusetts Amherst (UMass) , working with James Allan and Negin Rahimi.
• BS, Computer Science, Pohang University of Science and Technology (POSTECH).

Publications 📚

View my work on Google Scholar

2024

• [EMNLP 24] Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation
  Youngwoo Kim, Razieh Rahimi, and James Allan
  EMNLP 2024 Main
  [PDF]

  2023

• [F.ACL EMNLP 23] Conditional Natural Language Inference
  Youngwoo Kim, Razieh Rahimi, and James Allan
  Findings of the Association for Computational Linguistics: EMNLP 2023
  [PDF] [Code]

2022

• [SIGIR 22] Alignment Rationale for Query-Document Relevance
  Youngwoo Kim, Razieh Rahimi, and James Allan
  In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  [PDF]

2021

• [CIKM 21] Query-driven Segment Selection for Ranking Long Documents
  Youngwoo Kim, Razieh Rahimi, Hamed Bonab, and James Allan
  In Proceedings of the 30th ACM International Conference on Information and Knowledge Management
  [PDF]

2020

• [TOIS] Explaining Text Matching on Neural Natural Language Inference
  Youngwoo Kim, Myungha Jang, and James Allan
  ACM Transactions on Information Systems
  [PDF] [Code]

2019

• [ECIR 19] Unsupervised Explainable Controversy Detection from Online News (🏆 Best Paper)
  Youngwoo Kim and James Allan
  In European Conference on Information Retrieval
  [PDF] [Code]

• [FEVER] FEVER Breaker’s Run of Team NbAuzDrLqg
  Youngwoo Kim and James Allan
  In Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)
  [PDF]

2014

• [KBS] Geotree: using spatial information for georeferenced video search
  Youngwoo Kim, Jinha Kim, and Hwanjo Yu
  Knowledge-based systems
  [PDF]

2012

• [KDD] GeoSearch: georeferenced video retrieval system
  Youngwoo Kim, Jinha Kim, and Hwanjo Yu
  In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
  [PDF]

• Edge detection based on morphological amoebas
  Won Yeol Lee, Young Woo Kim, Se Yun Kim, Jae Young Lim, and Dong Hoon Lim
  The Imaging Science Journal
  [PDF]

2009

• [ICIP] Edge detection using morphological amoebas in noisy images
  Won Yeol Lee, Se Yun Kim, Young Woo Kim, Jae Young Lim, and Dong Hoon Lim
  In 2009 16th IEEE International Conference on Image Processing (ICIP)
  [PDF] —

Last updated: October 23, 2024