Best Practices for NLP Data Collection and Design

Ivan Lee on November 10, 2020

You can't build NLP-powered products and services without robust, detailed data sets. Unfortunately, building such data sets can be time consuming and expensive; a poorly designed data set will also prevent your models from actually helping users. Ivan Lee is the CEO and founder of Datasaur, which provides an end-to-end solution for labeling data and using it to build and train NLP-powered models and products. He will discuss best practices for data set design and labelling.

Datasaur recently raised $3.9M to build their NLP data platform, and the company is part of Y Combinator's Winter 2020 batch.