Eunjeong Hwang

Eunjeong Hwang

South Korean. PhD @ UBC and MS @ UMass Amherst. Major in Computer Science. Interested in Natural Language Processing.

About me

I’m a PhD student at University of British Columbia and my supervisor is Vered Shwartz.

My research interest is about incorporating implicit contexts into large language models.

Before starting a PhD, I primarily worked with members at Information Extraction and Synthesis Laboratory (IESL) and IBM Research while receiving a MS in Computer Science at the University of Massachusetts-Amherst. I also spent some time in industry, I worked for Naver in Knowledge Base team for about a year and I worked for IBM as an application developer for a year before starting Master’s degree.

CV

News

Publications

A Graph per Persona: Reasoning about Subjective Natural Language Descriptions
Eunjeong Hwang, Vered Shwartz, Dan Gutfreund, Veronika Thost
Under Review

InfluencerOpinion: Mining opinions from Interviews
Eunjeong Hwang, Niket Tandon, Bodhisattwa Prasad Majumder, Vered Shwartz
Under Review

Knowledge Graph Compression Enhances Diverse Commonsense Generation
Eunjeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma
Long paper @ EMNLP 2023

Aligning Language Models to User Opinions
Eunjeong Hwang, Bodhisattwa Prasad Majumder, Niket Tandon
Long paper @ Findings of EMNLP 2023

MemeCap: A Dataset for Captioning and Interpreting Memes
Eunjeong Hwang, Vered Shwartz
Long paper @ EMNLP 2023

An Analysis of Virtual Nodes in Graph Neural Networks for Link Prediction
Eunjeong Hwang, Veronika Thost, Shib Sankar Dasgupta, Tengfei Ma
The First Learning on Graphs, 2022 (Spotlight) youtube, code

Event-Event Relation Extraction using Probabilistic Box Embedding
Eunjeong Hwang, Jay-Yoon Lee, Tianyi Yang, Dhruvesh Patel, Dongxu Zhang, Andrew McCallum
ACL-short, 2022 code

Interdependency between the stock market and financial news
Eunjeong Hwang, Yong-Hyuk Kim
IEEE BigData2019 workshop

Research Experiences

University of British Columbia, 2022.09 - Present
Research Assistant (supervised by Dr. Vered Shwartz)

Google AI, 2024.01 - Present
Research Intern (Host: Yichao Zhou, Beliz Gunel)

MIT-IBM Research, 2023.07 - 2023.12
Research Intern (Host: Veronika Thost, Dan Gutfreund)

Information Extraction and Synthesis Laboratory (IESL), UMass Amherst, 2020.05 - 2020.08
Research Intern

Work Experiences

Naver, S. Korea, 2021.03 - 2022.06
Software Engineer at Knowledge Base team

IBM, S. Korea, 2018.01 - 2019.04
Application Developer

IBM, S. Korea, 2017.09 - 2017.12
Application Developer Intern

The Development Factory, Australia, 2017.01 - 2017.02
Software Engineer Intern

Teaching Experience

University of Massachussets-Amherst, 2021.02 - 2021.05
Grader at CS685 Graduate Natural Language Processing course (Prof. Brendan O’Connor)

Awards

President’s Academic Excellence Initiative PhD Award, UBC, 2022.09
International Tuition Award, UBC, 2022.09
Faculty of Science PhD Tuition Award, UBC, 2022.09

Talks

  • Invited talk at UT Asutin (Host: Prof. Jessy Li at LIN 393), Feb 8, 2024

Services