GRACE E. LEE

Welcome to my website!

I am an Applied Scientist in Amazon AI, UK. I obtained my PhD in School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore, advised by Prof Aixin Sun. Before my PhD, I received B.S. and M.S. (advisor: Prof Mun Y Yi) in KAIST, South Korea, in 2014 and 2016, respectively.

My research interests are information extraction, information retrieval, and biomedical NLP. At the moment, I am working on relation extraction with the focus on data generation and representation learning.

NEWS

  • [Dec 2020] I will be serving IJCAI 2021 as a PC member.
  • [Aug 2020] Understanding the Stability of Medical Concept Embeddings is accepted in JASIST.
  • [June 2020] I have submitted my PhD thesis, titled Seed-driven Document Ranking for Systematic Reviews in Evidence-based Medicine.

PUBLICATIONS


Understanding the Stability of Medical Concept Embeddings

Grace E. Lee and Aixin Sun

JASIST accepted in 2020


A Study on Agreement in PICO Span Annotations

Grace E. Lee and Aixin Sun

SIGIR 2019, short paper, acceptance rate: 24.4% (108/443)


Digital Education for Health Professions in the Field of Dermatology: A Systematic Review by Digital Health Education Collaboration

Xiaomeng Xu, Pawel Przemyslaw Posadzki, Grace E. Lee, Josip Car, Helen Elizabeth Smith

Acta Dermato-Venereologica 2018, Systematic review


Seed-driven Document Ranking for Systematic Reviews in Evidence-Based Medicine

Grace E. Lee and Aixin Sun

SIGIR 2018, full paper, acceptance rate: 21.0% (87/432)


A Study of Convolutional Neural Networks for Clinical Document Classification in Systematic Reviews: SysReview at CLEF eHealth 2017

Grace Eunkyung Lee

CLEF (Working Notes), 2017


Introducing Experiential Knowledge Platform: A Smart Decision Supporter for Field Experts

Keejun Han, Eunkyung G. Lee, Hyunwoo Je, Mun Y. Yi

BigComp 2016, workshop paper


Incorporating Distinct Opinions in Content Recommender System

Grace E. Lee, Keejun Han, Mun Y. Yi

AIRS 2015, full paper

TEACHING


Object-oriented Design and Programming, SCSE, NTU

AY 2019/2020 S1, 2018/2019 S1, 2017/2018 S1 S2, 2016/2017 S2, Lab supervisor

Introduction to Data Science and Artificial Intelligence, SCSE, NTU

AY 2018/2019 S2 Lab supervisor

Algorithms, SCSE, NTU

AY 2018/2019 S1, S2 Lab supervisor

AWARDS & SCHOLARSHIPS


Student travel grant ACM SIGIR 2019

Student travel grant ACM SIGIR 2018

Singapore international graduate award (SINGA)

Student travel grant AIRS 2015

National graduate science & technology scholarship

1st prize in 2012 summer internship, Samsung Electronics

Doosan yonkang foundation scholarship

National undergraduate science & technology scholarship

INTERNSHIPS


SingHealth Office for Insights & Analytics (OIA), Singapore

Research Associate, Jan 2019 to June 2020

InfraTec GmbH, Germany

Sales Engineer, 2013

Samsung Electronics, South Korea

Software Engineer, Summer 2012

SERVICES


PC members

IJCAI 2021

External reviewer

WSDM 2020, WWW 2020, SIGIR 2020
WSDM 2019, WWW 2019, SIGIR 2019, CIKM 2019 (subreviewer)
AAAI 2018, SIGIR 2018, IJCAI 2018
AAAI 2017, SIGIR 2017

PhD Thesis

Seed-driven Document Ranking for Systematic Reviews in Evidence-based Medicine [slides] [PDF to be added]
Examiners: Mark Sanderson, Yiqun Liu, Min-Yen Kan
Last update: Jan 2021;website template