nlp:structured_prediction
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Table of Contents
Structured Prediction
Overviews
- Section 3.1-3.3 of Jeff's thesis gives an very brief overview of loss functions for structured prediction
Key Papers
- Structured SVM
Recent Papers
Recent papers: https://paperswithcode.com/task/structured-prediction
- Andor et al 2016 - Globally Normalized Transition-Based Neural Networks Talks about the label bias problem.
- Edunov et al 2017 - Classical Structured Prediction Losses for Sequence to Sequence Learning Uses a sample (i.e. beam) size of 16 for the MT experiments. See section 6.5 and Table 2.
- Widmoser 2021 - Randomized Deep Structured Prediction for Discourse-Level Processing “Our experiments show that in all cases, deep structured prediction outperforms traditional shallow approaches, structured learning outperforms inference over locally trained models, and generic randomized inference performs competitively to exact inference.”
Structured Prediction Energy Networks (SPENs)
nlp/structured_prediction.1616041525.txt.gz · Last modified: 2023/06/15 07:36 (external edit)