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Industrial NLP Applications of Machine Learning in Different Domains

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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.

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