David de Hilster
Adjunct Faculty,
Multidisciplinary Graduate Engineering Programs
Contact
- d.dehilster@northeastern.edu
- 230 NW 24th St 5th Floor
Miami, FL 33127
About
David de Hilster is a computer scientist in the area of artificial intelligence and natural language processing (NLP). David holds a Bachelor’s degree in Mathematics and a Master’s degree in Linguistics, both from Ohio State University and has been working in industry as a computer scientist for four decades in the areas of artificial intelligence, online gaming, and supercomputers.
David is renowned for his pioneering work in natural language processing, having co-authored the computer language NLP++ and the Integrated Development Environment (IDE) VisualText. He has given lectures at universities and mentored students from around the world on intelligent programming using NLP++. David is also involved in developing the first university courses on rule-based NLP using NLP++ and is founder and director of the Natural Language Understanding Global Initiative whose objectives is the transfer of human knowledge to computers using NLP++.
David is also an accomplished artist, filmmaker, and theoretical physics aficionado. His artworks have been sponsored by the Los Angeles Country Museum of Art Rental gallery and are bought by private collectors. He is also president of the John Chappell Natural Philosophy Society where he has work for decades with some of the greatest minds outside mainstream physics. He is finishing a second book on a physical model of the universe with his father entitled “The Four Universal Motions in Physics”. David has also produced and directed the feature-length documentary “Einstein Wrong – The Miracle Year,” which explores the problems with Einstein theory of relativity.
Selected Publications
- “Low-resource ICD Coding of Hospital Discharge Summaries”, Association of Computational Linguistics Annual Conference, 2024, Thailand
- “Scalable Analysis of English Dictionary Files on HPCC Systems Big Data Platform”, 2024, IEEE, Pages: 328-333, DOI Bookmark: 10.1109/ICBDA61153.2024.10607199
- “Emotion Detection in Social Media Posts”, XLIII Nation Conference of Production Engineering, October 2023, Brazil