Company Filing History:
Years Active: 2025
Title: Innovations of Xianyang Chen in Automated Scoring Systems
Introduction
Xianyang Chen is an accomplished inventor based in Princeton, NJ, known for his contributions to the field of automated scoring systems. With a total of 3 patents, he has made significant strides in utilizing machine learning and natural language processing to enhance the evaluation of non-cognitive and behavioral performance tasks.
Latest Patents
Chen's latest patents include groundbreaking technologies such as "NLP-guided video thin-slicing for automated scoring of non-cognitive, behavioral performance tasks." This innovation involves receiving video data of a subject performing a task, generating a transcript through an automatic speech recognition (ASR) system, and extracting textual representations using a transformer model. The process culminates in selecting an optimal slice of the video for analysis by machine learning models to characterize the subject's performance.
Another notable patent is "Machine learning-based automated narrative text scoring including emotion arc characterization." This invention characterizes the quality of narrative text by tokenizing the text, extracting events, and generating a waveform that represents emotional arcs. The narrative quality is then scored using a machine learning model that correlates these emotional arcs with quality scores.
Career Highlights
Xianyang Chen is currently employed at Educational Testing Service, where he applies his expertise in developing innovative assessment tools. His work focuses on integrating advanced technologies to improve the accuracy and efficiency of educational evaluations.
Collaborations
Chen collaborates with notable colleagues such as Swapna Somasundaran and Michael Flor, contributing to a dynamic research environment that fosters innovation in educational assessment.
Conclusion
Xianyang Chen's contributions to automated scoring systems exemplify the intersection of technology and education. His patents reflect a commitment to enhancing the evaluation process through innovative methodologies.
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