Yoong Keok Lee
Yoong Keok Lee has 2 papers in our library, in 2002–2012, most of them on Word sense disambiguation, Machine translation, Morphology; often with David Stallard, Hwee Tou Ng, Jacob Devlin.
current affiliationMIT Computer Science and Artificial Intelligence Laboratory, Cambridge, United States; Massachusetts Institute of Technology, Cambridge, United States
OpenAlex · h-index 7 · 7 works · 427 citations OpenAlex, 2026-10-14
2 works in our library · 76 citations in our library · ⭐ Paper Star rank #3447
Affiliations
- Massachusetts Institute of Technology · Cambridge, United States — current · 2010–2012 on 3 papers
- MIT Computer Science and Artificial Intelligence Laboratory · Cambridge, United States — current · 2011–2012 on 2 papers
- IBM (United States) · Armonk, United States — 2016–2018 on 2 papers
- DSO National Laboratories · Singapore, Singapore — 2003–2006 on 3 papers
Topics
Works by year
2010s
2000s
Papers
- An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation (2002 · 302 citations)
The paper investigates how supervised word sense disambiguation (WSD) accuracy depends on two factors: the features used to describe a word's context and the classifier trained on them. - Unsupervised Morphology Rivals Supervised Morphology for Arabic MT (2012 · 30 citations)
The question is whether an unsupervised Arabic segmenter (the Lee et al. Bayesian model) can match supervised segmenters such as MADA and Sakhr when it feeds a hierarchical string-to-tree MT system. The authors add maximum marginal decoding (MM) over 25 Gibbs-sampling runs. Sampling alone changes 13% of token…
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