Neural Nets for NLP - Structured Prediction Basics
Offered By: Graham Neubig via YouTube
Course Description
Overview
Syllabus
Intro
A Prediction Problem
Types of Prediction
Why Call it "Structured" Prediction?
Many Varieties of Structured Prediction!
Sequence Labeling as
Sequence Labeling w
Why Model Interactions in Output? . Consistency is important!
A Tagger Considering Output Structure
Training Structured Models
Local Normalization and
The Structured Perceptron Algorithm . An extremely simple way of training (non-probabilistic) global models
Structured Perceptron Loss
Contrasting Perceptron and Global Normalization • Globally normalized probabilistic model
Structured Training and Pre-training
Cost-Augmented Decoding for Hamming Loss • Hamming loss is decomposable over each word • Solution: add a score - Cost to each incorrect choice during search
What's Wrong w/ Structured Hinge Loss?
Taught by
Graham Neubig
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