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Neural Nets for NLP 2021 - Multilingual Learning

Graham Neubig via YouTube

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This lecture examines multilingual learning for natural language processing, including multilingual model design, parameter sharing, adapters, crosslingual transfer, annotation projection, and active learning.

Syllabus

Intro
Multilingual Learning
Flowchart
Multilingual Models
Heuristic Sampling
Balance Data Directly
Share Parameters
Adapters
Multilingual Pretraining
Crosslingual Word Recovery
Benchmarks
Crosslingual Transfer Learning
Pretrained and Finetuned Paradigm
Annotation Projection
Transfer
Language Overlap
Language Syntax
Active Learning
Uncertainty
Sampling Criteria

Taught by

Graham Neubig

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