nlp:compositional_generalization
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Table of Contents
Compositional Generalization
Overviews
- Lin et al 2023 - A Survey on Compositional Generalization in Applications Not an NLP paper, and not very comprehensive. WARNING: Missing a bunch of NLP work.
Papers
- Chang et al 2018 - Automatically Composing Representation Transformations as a Means for Generalization Has a good section on what compositional generalization is. Positive results for curriculum learning
- 2019 - Measuring Compositional Generalization: A Comprehensive Method on Realistic Data Introduces MCD data split method
- Improving Transformers for COG:
Papers using Curriculum Learning
COG in Machine Translation
Non-NLP Papers
- Klinger et al 2020 - A Study of Compositional Generalization in Neural Models Has some negative results for curriculum learning
Datasets
- Semantic Parsing
- SCAN dataset paper. Also introduces a machine translation dataset for compositional generalization
- CFQ dataset paper
- PCFG dataset paper (A string edit operation composition benchmark)
- M-PCFGSET dataset paper
- Question Answering
- ComQA: Compositional Question-Answering dataset paper
- Machine Translation
- Small-scale MT dataset from the SCAN dataset paper
- CoGnition dataset paper
People
Related Pages
- Curriculum Learning (often useful for compositional generalization)
nlp/compositional_generalization.1686814574.txt.gz · Last modified: 2023/06/15 07:36 by 127.0.0.1