Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Norris Heintzelman

Norris Heintzelman
Senior Research and Data Scientist, Lockheed Martin

Website

Norris Heintzelman is a senior research and data scientist with 19 years’ real-world experience converting data into knowledge—that is, 19 years’ experience in many areas of natural language processing, knowledge systems, cleaning and normalizing messy data, and rigorous accuracy measurement. Norris has published several papers in the fields of health informatics and general knowledge management. She has worked for Lockheed Martin for a very long time, in multiple business areas, from public sector contracts to advanced R&D to internal business process support. An alumna of both Temple University and the University of Pennsylvania, she lives in Wilmington, Delaware, with her husband, two daughters, and two cats. She likes to eat and talk about food.

Sessions

11:50am–12:30pm Wednesday, March 27, 2019
NLP from scratch: Solving the cold start problem for natural language processing
Data Science, Machine Learning & AI
 Location: 2010
Secondary topics:  Text and Language processing and analysis
Michael Johnson (Lockheed Martin), Norris Heintzelman (Lockheed Martin)
Average rating: ****.
(4.60, 15 ratings)
How do you train a machine learning model with no training data? Michael Johnson and Norris Heintzelman share their journey implementing multiple solutions to bootstrapping training data in the NLP domain, covering topics including weak supervision, building an active learning framework, and annotation adjudication for named-entity recognition. Read more.