2017
ACL
ACL 2017
On the Challenges of Translating NLP Research into Commercial Products
Abstract
AbstractThis paper highlights challenges in industrial research related to translating research in natural language processing into commercial products. While the interest in natural language processing from industry is significant, the transfer of research to commercial products is non-trivial and its challenges are often unknown to or underestimated by many researchers. I discuss current obstacles and provide suggestions for increasing the chances for translating research to commercial success based on my experience in industrial research.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Natural Language Processing
📈
Trend Setter
— Applications
🧭
Keyword Pioneer
— industrial research
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio