Damian Romero
Damian Romero is a Ph.D. candidate in Hispanic Linguistics, focusing on corpus linguistics, computational linguistics, and natural language processing, with experience in English, Spanish, and Portuguese projects for academia and industry. He studies politeness and impoliteness in human interactions through computational linguistic methods. His secondary research interests are data annotation guidelines, UX research, and language evolution. He is also a machine learning intern at Explosion and a contributor to the Digital Humanities project Digital Tolkien (https://digitaltolkien.com/).
Sessions
In this workshop, attendees will learn how to create data annotation guidelines from a user experience (UX) perspective.
Creating annotation guidelines from a UX perspective means imbuing them with usability, resulting in a better experience for annotators, and more effective and productive annotation campaigns. With Python being at the forefront of Machine Learning and data science, we believe that the Python community will benefit from learning more about the design of data annotation guidelines and why they are essential for creating great machine learning applications.