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In this study we aim to predict missing numerical attribute values for entities in KGs by incorporating arithmetic relationships between attributes as constraints in the models. The expectation is that these constraints will act as structural regularization to achieve a consistent result.

Master's thesis

Software Engineer @ SYSCOM COMPUTER ENGINEERING CO.

屈子婷

I am currently in Taiwan, but open to exploring opportunities located in Europe, North America, or Asia.  
I am a master's graduate in Computational Linguistics with a strong passion for NLP and deep learning. My master's thesis centered around predicting numerical attributes in knowledge graphs, where I built regression and multitask models using Pytorch and conducted experiments to investigate the benefit of adding numerical constraints. 
 My experience in language teaching and main caregiver makes me a well-rounded NLP engineer. I am confident in my ability to effectively communicate complex ideas and meet individual needs. I am eager to apply my expertise and continue to grow in this exciting field.

University of Stuttgart

National Taiwan Normal University

National Taiwan University

SYSCOM COMPUTER ENGINEERING CO.

Software Engineer

• Obtaining technical skills including Python, SQL, Hadoop, statistics, machine learning, data visualization, etc
• Collaborating with a team of 8 to conduct an AI model to provide business insights for the game developers 


Tze Chiang Foundation of Science and Technology, Hsinchu (online) 

Data Scientist Trainee


 . Taught foreign students from different backgrounds 
 . Led 5-15 persons of a group and guided them an efficient way to learn Chinese 
 . Customized different course contents and teaching plans for students at  different Mandarin proficiency

Chinese Language Division, Language Center, National Taiwan University

Chinese Language Instructor

. Cooperated with teaching teams consisting of teachers from the Netherlands and China 
. Instructed BA and MA students to acquire intermediate and high proficiency of spoken and written Mandarin

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