University of Cambridge > Talks.cam > Language Technology Lab Seminars > Industrial NLP Applications of Machine Learning in Different Domains

Industrial NLP Applications of Machine Learning in Different Domains

Add to your list(s) Download to your calendar using vCal

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 computational linguistics 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.

This talk is part of the Language Technology Lab Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2019 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity