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Machine Learning Still Struggles to Extract Meaning from Language

Thanks to machine learning (ML) and the overall growth in data processing capability, AI has made solid progress in producing predictive insights from structured data for everything from potential machinery failure to fraud detection. But digital technology has also produced a massive increase in unstructured data which includes pictures, videos, and language data. This is where traditional machine learning-based natural language processing (NLP) techniques have fallen short. Language is data. It carries a tremendous amount of potential information depending on how it is used…