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High School Student Researcher Mason’s Paper on the Parallel Corpus and NLP Approach for Neutralising Mental Illness Bias was Accepted for Presentation at the Recent Advances in Natural Language Processing (RANLP2023)

High School Student Researcher Masons Paper On The Parallel Corpus And Nlp Approach Was Accepted At The Ranlp2023

Mason Choey, a high school student at The Nueva School in California, brings an impressive array of skills and experiences.

In a summer internship program at the University of California, Santa Cruz, specifically in the Computational Media Department in the summer of 2021, Mason worked alongside Professor Sri Kurniawan and Ph.D. candidate Jared Duval. Together, they focused on the development of therapy apps designed to assist disabled children after cleft palate surgery. These apps aimed to enhance sensory and motor skills.

Mason has also been engaged in several coding projects since 2018. Notably, he created a Python-based Wordle solver utilising machine learning algorithms to efficiently complete puzzles. He developed a Covid-19 transmission simulator in Python to estimate infection spread within various enclosed spaces. Another remarkable project involved building an Artificial Intelligence (AI) system for optimising strategies in Gin Rummy.

In the realm of volunteer work, Mason has been an active member of the construction crew at Tiny Village, Youth Spirit Works, from 2021 onwards. His tasks involve various aspects of microhome construction for homeless youth.

Additionally, Mason has dedicated his time to community service through mobile meal delivery and pandemic relief efforts.

In a significant achievement, Mason’s research paper, titled “From Stigma to Support: A Parallel Corpus and NLP Approach for Neutralizing Mental Illness Bias,” has been accepted for presentation at the Recent Advances in Natural Language Processing (RANLP2023) conference. This conference is esteemed in the field of Natural Language Processing (NLP), with roots in international summer schools aimed at training and advancing computational linguistics.

Mason’s accomplishments are truly commendable, and we extend our congratulations to him on this achievement.

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