MY WORK

Currently work at Institute of Information Science, Academia Sinica as Research Assistant.

Yu-Ting Lee, a dedicated and innovative Natural Language Processing (NLP) researcher with a specialized focus on natural language generation and knowledge updating. Lee holds a distinguished academic background, having graduated from the Department of Computer Science at National Chengchi University, a testament to a solid foundation in computational studies and a keen interest in linguistic technologies.

The pinnacle of Lee''s research endeavors can be seen through the master''s thesis, which intricately explores the realm of full article updating, given non-updated information and triggered events. This work demonstrates a profound understanding of the dynamic interplay between static information and evolving knowledge, ensuring that generated text remains relevant and accurate amidst the ever-changing informational landscape.

Notably, Lee has also made a significant contribution to the academic community with work published at Conference on Infsormation and Knowledge Management (CIKM) in 2022, reflecting a commitment to advancing the field of NLP through rigorous research and knowledge dissemination. Lee continues to delve deeper into the exploration of how machines can adeptly generate and update language, bridging the gap between static knowledge and the fluidity of human communication.