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CMU Multilingual NLP - Information Extraction

Offered By: Graham Neubig via YouTube

Tags

Natural Language Processing (NLP) Courses Disaster Response Courses Low-Resource Languages Courses Multilingual Natural Language Processing Courses

Course Description

Overview

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.

Syllabus

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


Taught by

Graham Neubig

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