CMU Multilingual NLP - Information Extraction

Learn about information extraction techniques for low-resource languages and their application in disaster response through the LORELEI project in this 41-minute lecture from CMU's Multilingual Natural Language Processing course. Explore methods, comparisons, and overall results while gaining insights into the challenges and opportunities in this field. Discover how multilingual NLP can be leveraged for critical real-world applications and understand the evaluation processes involved in such projects.

Introduction
Resources
DARPA
Lorelei
Deadlines
Evaluation Exercises
Collaborators
CMU
Methods
Comparison
Overall Results
Discussion Point