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Chee Wee (Ben) Leong

Chee Wee (Ben) Leong is a principal research engineer in the Natural Language Processing (NLP) lab at ETS. He received a Ph.D. in computer science and engineering from the University of North Texas and a B.Eng. in computer engineering from the National University of Singapore in 2002. He currently manages a team of engineers who are involved in the implementation of computational components/systems and technological tools to generate artificial intelligence prototypes of innovative educational products and services. His research interests are mainly lexical semantics, multimodal NLP, and interaction. Since joining ETS, he has worked on diverse research projects such as the SpeechRater® automated scoring service, the e-rater® automated scoring engine, and the multimodal research initiative, which aimed to provide quantitative assessment and feedback of noncognitive, behavioral-based performance tasks using multimodal signals and evidence. Leong has published more than 50 technical papers, holds four granted U.S. patents, and continues to serve on mutiple program committees in NLP and multimodal conferences, such as Association for Computational Linguistics, Empirical Methods in Natural Language Processing, North American Chapter of the Association for Computational Linguistics, International Joint Conference on Natural Language Processing, International Conference on Multimodal Interaction, International Conference on Affective Computing and Intelligent Interaction (ACII), and World Wide Web. In 2017, Leong received a best paper nomination for a paper he coauthored in the ACII. 

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