12 – What Makes Natural Language Processing So Difficult (and One Shortcut to Make It Easy)

Digital Workplace Deep Dive1 minute readJun 19th, 2020
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Why is Natural Language Processing so difficult to get right? Are there any shortcuts? And what are the tradeoffs between supervised and unsupervised learning? Yes, this episode of the podcast is a bit more technical than some of the earlier episodes. But if NLP is your thing, you’ll enjoy hearing part 2 of my series on this subject with Brian Evarts, who leads the development of Natural Language Processing at Unisys.

Tags-   AI Artificial Intelligence Machine Learning ML Natural Language Processing NLP


About The Author

Weston Morris

Weston Morris leads the architecture for Unisys Digital Workplace Services and End User Services.​ He has more than 25 years of systems analysis, design, integration, and software development experience.

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