Source: thenewstack.io
Machine Learning Still Struggles to Extract Meaning from LanguageCategory: Software, Business, Data, artificial-intelligence
Language is a fascinating construct and at the heart of how humans share and understand ideas and knowledge. For something so complex and nuanced, most people fail to acknowledge it as such, since it seems (and is) instinctual and natural. That’s why we call the language of human communication “natural language.”
The language challenge compounds when you enter the real world of complex language documents that powers so many enterprises and is unique to their domains.
This “hybrid” approach can enable people to be better at their jobs (be more expert) by ensuring that relevant information embedded in language is captured and delivered in a scalable way for faster, smarter, and more consistent decisions.
The language challenge compounds when you enter the real world of complex language documents that powers so many enterprises and is unique to their domains.
This “hybrid” approach can enable people to be better at their jobs (be more expert) by ensuring that relevant information embedded in language is captured and delivered in a scalable way for faster, smarter, and more consistent decisions.
Related Articles
Community Partners
DevOps Careers