GRACE E. LEE

Bio: Grace Lee is an applied research scientist at Thomson Reuters in London, UK. Previously, she was an applied research scientist at Amazon Alexa in Cambridge, UK. She obtained her PhD in Computer Science from NTU in Singapore under the supervision of Prof Aixin Sun, after recieving BSc and MSc from KAIST in South Korea. She received the 1st prize award from Samsung Electronics internship and serves PC members of top-tier IR and NLP conferences.

PUBLICATIONS


Context-Aware Classification of Legal Document Pages

Pavlos Fragkogiannis, Martina Forster, Grace E. Lee, Dell Zhang

SIGIR 2023 Industry Track

[Link]

Improving Distantly Supervised Document-Level Relation Extraction Through Natural Language Inference

Clara Vania, Grace E. Lee, and Andrea Pierleoni

NAACL 2022 DeepLo workshop

[Link]

Understanding the Stability of Medical Concept Embeddings

Grace E. Lee and Aixin Sun

JASIST accepted in 2020

[PDF]

A Study on Agreement in PICO Span Annotations

Grace E. Lee and Aixin Sun

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

[PDF][Poster]

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

[PDF]

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)

[PDF][Slides]

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

[PDF]

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

[PDF]

Incorporating Distinct Opinions in Content Recommender System

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

AIRS 2015, full paper

[PDF]

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

SIGIR 2023, CIKM 2023, RecSys 2023, SIGIR-AP 2023
SIGIR 2022, IJCAI 2022
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: July 2023;website template