talks.cam : Industrial NLP Applications of Machine Learning in Different Domains

If you have a question about this talk, please contact Mohammad Taher Pilehvar. The efficacy of applying machine learning to real-world problems has benefitted from the affordable availability of computational resources (CPU cycles, RAM) in abundance. In this presentation, I aim to present how linguistic and machine learning can be usefully combined to solve customer problems. To this end, I will describe some example applications of machine learning to problems from the financial, legal & regulatory and pharmacology domains, all using different use cases and expectations yet all based on natural language processing aided by supervised learning. I conclude by contrasting academic research from scientific research conducted in an industry environment.