Princeton, NJ, United States of America

Chi Lu


Average Co-Inventor Count = 4.0

ph-index = 4

Forward Citations = 291(Granted Patents)


Company Filing History:


Years Active: 2000-2013

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6 patents (USPTO):Explore Patents

Title: Innovations of Chi Lu in Automated Essay Scoring

Introduction

Chi Lu is an accomplished inventor based in Princeton, NJ, known for his significant contributions to the field of automated essay scoring. With a total of six patents to his name, he has developed innovative systems and methods that enhance the evaluation of written essays.

Latest Patents

One of Chi Lu's latest patents focuses on automated essay scoring. This invention provides systems and methods for building a trait model for essay evaluation. The process begins with receiving at least one evaluated essay, from which a plurality of features related to various traits, such as writing errors, discourse, or vocabulary usage, are identified and extracted. Subsequently, a plurality of vector files based on these features are created, leading to the construction of a trait model for essay evaluation. The evaluation of this model involves mapping features of a new essay to the trait model through a multi-branched decision tree, where values associated with the new essay's features guide the evaluation process. Additionally, the system automatically evaluates essays by applying them to multiple trait models, generating trait scores from each model, and determining an overall score based on these scores.

Career Highlights

Chi Lu is currently employed at Educational Testing Service, where he continues to innovate in the realm of educational assessment. His work has significantly impacted how essays are evaluated, making the process more efficient and reliable.

Collaborations

Chi Lu collaborates with notable colleagues, including Jill C Burstein and Susanne Wolff, who contribute to the development and refinement of his innovative projects.

Conclusion

Chi Lu's work in automated essay scoring exemplifies the intersection of technology and education, showcasing how innovations can transform traditional assessment methods. His contributions continue to shape the future of educational evaluation.

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