About Natural Language Processing in 2021

Adrian Gonzalez Sanchez
2 min readMay 27, 2021

Brief analysis of current status and realistic potential for adoption

Natural Language Processing (NLP) techniques are often defined as a subset of the Artificial Intelligence technologies, and they are getting wide adoption and acceptance among companies and individuals. Not without reason…

The “processing” piece means that we can read text-based information, but also understand its context or even the intent from that unstructured data. This is a powerful cognitive ability that supports plenty of processes and increases human capabilities around the world. For example, the Port of Montreal used NLP and AI models to detect and distribute critically important cargo during the most difficult months of the pandemic in 2020. NLP-enabled solutions took care of tedious or repetitive manual “reading” operations to extract insights and support human decision-making, and this is just an example.

Port of Montreal’s CargO2AI Project (source: American Journal of Transportation)

The interesting part of NLP is its maturity as technology (or set of technologies). There are different levels of performance depending on the implemented model, but also a realistic understanding of the trade-off between results and requirements. This is key for massive…

--

--