Dong-Ho Lee

Ph.D. Student
University of Southern California
Information Science Institute (ISI)
dongho.lee@usc.edu
Curriculum Vitae [pdf]
Google scholar [link]
Github [link]
Twitter [link]

Last Updated: 25 Aug 2021

Research Interests

Explanation-based Learning, Knowledge Graph, Information Extraction, Natural Language Understanding, Computer-supported Learning


Education

University of Southern California
Ph.D. in Computer Science
Aug 2021 – PRESENT
Advisor: Dr. Jay Pujara

MS in Computer Science
Aug 2018 – May 2020
Advisor: Dr. Xiang Ren

Sungkyunkwan University
BS in Computer Education
Mar 2012 – Feb 2018

The University of Sheffield
Exchange Student, Computer science
Sep 2016 – Feb 2017


Awards and Scholarships

Best Paper Award,  NAACL 2021 TrustNLP Workshop
Best Paper Award,  KIPS 2018 Spring Conference
Academic Scholarship,  Sungkyunkwan University (Fall 2016)


Research Papers in Conference Proceedings

Perhaps PTLMs should go to School – A Task to Assess Open Book and Closed Book QA
Manuel Ciosici, Joe Cecil, Dong-Ho Lee, Alex Hedges, Marjorie Freedman and Ralph Weischedel
EMNLP 2021 [link]

Improving Text Auto-Completion with Next Phrase Prediction
Dong-Ho Lee, Zhiqiang Hu and Roy Ka-Wei Lee
EMNLP 2021 Findings [link]

ForecastQA: A Question Answering Challenge for Event Forecasting
Woojeong Jin, Suji Kim, Rahul Khanna, Dong-Ho Lee, Fred Morstatter, Aram Galstyan and Xiang Ren
ACL 2021 [link]

RiddleSense: Answering Riddle Questions as Commonsense
Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee and Xiang Ren
ACL 2021 Findings [link]

Pre-training Text-to-Text Transformers for Concept-Centric Common Sense
Wangchunshu Zhou*, Dong-Ho Lee*, Ravi kiran Selvam, Seyeon Lee, Bill Yuchen Lin and Xiang Ren
ICLR 2021 [link] [Project]

Machine-Assisted Script Curation
Manuel R Ciosici, Joseph Cummings, Mitchell DeHaven, Alex Hedges, Yash Kankanampati, Dong-Ho Lee, Ralph Weischedel and Marjorie Freedman
NAACL 2021 Demo Track [link]

TriggerNER: Label-Efficient Learning for Named Entity Recognition via Annotating Entity Triggers
Bill Yuchen Lin*, Dong-Ho Lee*, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar and Xiang Ren
ACL 2020 [link] [Project]

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
Dong-Ho Lee*, Rahul Khanna*, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves and Xiang Ren
ACL 2020 Demo Track [link] [Project]

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
Bill Yuchen Lin*, Dong-Ho Lee*, Frank F. Xu, Ouyu Lan and Xiang Ren
ACL 2019 Demo Track [link] [Github]

Journals

Fake news detection using deep learning
Dong-Ho Lee, Yu-Ri Kim, Hyeong-Jun Kim, Seung-Myun Park and Yu-Jun Yang
Journal of Information Processing System (JIPS) [link]