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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.

2 papers in our library · 2002–2012

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

Topics

Word sense disambiguation1Machine translation1Morphology1Evaluation & benchmarks1Semitic languages1

Works by year

2010s

2000s

Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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…

Co-authors here

4 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 76 times (of the 140 884 papers whose bibliographies we read); 6 citing papers with a page here →.

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