The NLP for RE tutorial aims to provide the basics of how NLP (Natural Language Processing) could be used to process data for automation. It considers various instances that could be used to get started with applied NLP inclusive of data gathering, preprocessing, modeling and evaluation. We teach you how to apply various NLP techniques to a data set you bring with you or example systems we have as a backup. The take-aways from the tutorial are 1) How to gather data from public repositories such as utilizing REST-API’s, 2) Pre-processing requirements utilizing various NLP techniques 3) Develop a classification ML model for requirement dependencies.

Please note that this tutorial is asynchronous and flexible. Gouri Deshpande (University of Calgary) will organize a live QA session during the allocated time slot.