If you’ve built a cognitive system, you know that it requires a lot of training to reach peak performance. (For details, read Why does machine learning require so much data?) How much training data do you…
Introduction In my past posts, I showed both how to create a simple NLP model with rules and machine learning, and how to improve those same rules and machine learning NLP models. In this post…
Introduction In my last post, I introduced a simple Natural Language Processing (NLP) problem: extracting mentions of programming languages from the Wikipedia article on programming languages, using both a rules-based technique and a machine learning…
Introduction In this cognitive area, many people are interested in using natural language processing (NLP) to extract insights from their large collections of unstructured text. There are two main approaches to natural language processing: rules-based…
Everywhere I look I see people trying to solve problems with machine learning. It’s an exciting time to be a cognitive developer! One area I see these people struggling in is gathering sufficient training data…
In my post on Calculating confidence of natural language processing results using machine learning I described building a logistic regression model using two simple features. I learned a few things and made a few mistakes along the…
I’ve been building a set of natural language processing (NLP) annotators and have frequently been asked about my confidence in the results. This is an interesting question with a simple answer and a more complex…