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ORCIDGrace E. Lee
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- affiliation: Nanyang Technological University, Singapore
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Books and Theses
- 2020
[b1]Grace Eunkyung Lee:
Seed-driven document ranking for systematic reviews in evidence-based medicine. Nanyang Technological University, Singapore, 2020
Journal Articles
- 2021
- [j1]Grace E. Lee
, Aixin Sun:
Understanding the stability of medical concept embeddings. J. Assoc. Inf. Sci. Technol. 72(3): 346-356 (2021)
Conference and Workshop Papers
- 2023
- [c5]Pavlos Fragkogiannis, Martina Forster, Grace E. Lee, Dell Zhang:
Context-Aware Classification of Legal Document Pages. SIGIR 2023: 3285-3289 - 2019
- [c4]Grace E. Lee, Aixin Sun:
A Study on Agreement in PICO Span Annotations. SIGIR 2019: 1149-1152 - 2018
- [c3]Grace E. Lee, Aixin Sun:
Seed-driven Document Ranking for Systematic Reviews in Evidence-Based Medicine. SIGIR 2018: 455-464 - 2017
- [c2]Grace Eunkyung Lee:
A Study of Convolutional Neural Networks for Clinical Document Classification in Systematic Reviews: SysReview at CLEF eHealth 2017. CLEF (Working Notes) 2017 - 2015
- [c1]Grace E. Lee, Keejun Han, Mun Yong Yi:
Incorporating Distinct Opinions in Content Recommender System. AIRS 2015: 109-120
Informal and Other Publications
- 2023
- [i5]Pavlos Fragkogiannis, Martina Forster, Grace E. Lee, Dell Zhang:
Context-Aware Classification of Legal Document Pages. CoRR abs/2304.02787 (2023) - 2022
- [i4]Grace E. Lee, Aixin Sun:
Towards Reducing Manual Workload in Technology-Assisted Reviews: Estimating Ranking Performance. CoRR abs/2201.05648 (2022) - 2021
- [i3]Grace E. Lee, Aixin Sun:
Mirror Matching: Document Matching Approach in Seed-driven Document Ranking for Medical Systematic Reviews. CoRR abs/2112.14318 (2021) - 2019
- [i2]Grace E. Lee, Aixin Sun:
Understanding Stability of Medical Concept Embeddings: Analysis and Prediction. CoRR abs/1904.09552 (2019) - [i1]Grace E. Lee, Aixin Sun:
A Study on Agreement in PICO Span Annotations. CoRR abs/1904.09557 (2019)
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