Recent content by avaclou

A practical understanding of Natural Language Processing starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is real-world use. Define what a good result looks like before changing tools or settings, then test one variable at...

I think humanoid and robots is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. It is usually easier to troubleshoot when each change is tested on its own.

I have been exploring Natural Language Processing and wanted to ask people who have tried it in practice. I am particularly interested in limitations and privacy considerations. I would like to compare approaches that people have actually used rather than just theoretical suggestions. Are...