nlp:label_bias_problem

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Table of Contents

Label Bias Problem
- Papers
- Related Pages

Label Bias Problem

Papers

Andor et al 2016 - Globally Normalized Transition-Based Neural Networks Proves that global models can be strictly more expressive than local models.
Goyal et al 2019 - An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search

Related Pages

Structured Prediction

nlp/label_bias_problem.1617270255.txt.gz · Last modified: 2023/06/15 07:36 (external edit)