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Deep Clustering of Text Representations for Supervision-Free Probing of Syntax

AAAI 2022 · Label-efficient and robust learning › Recognition and long-tail · approach: Multilingual language representation pretraining · 5 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace KMeans on mBERT vectors with SAE compression (ablation)POSI on Penn Treebank WSJ · Penn Treebank WSJ 45-tag POSIM1 accuracy: 72.4 ($\pm$2.9) -> 75.3 ($\pm$1.4)Helped
Fine-tune compressed representations using the clustering objective (ablation)POSI on Penn Treebank WSJ · Penn Treebank WSJ 45-tag POSIM1 accuracy: 75.3 ($\pm$1.4) -> 77.6 ($\pm$1.5)Helped
Add morphological character features (ablation)SyntDEC POSI · Penn Treebank WSJ 45-tag POSIM1 accuracy: 77.6 ($\pm$1.5) -> 79.5 ($\pm$0.9)Helped
Use SyntDEC rather than SAE (ablation)POSI across 10 Universal Treebank languages · 12-tag Universal Treebank POSI meanM1 accuracy: 70.9% to 75.7%Helped
Use SyntDEC rather than the previous best reported methodPOSI across 10 Universal Treebank languages · 12-tag Universal Treebank POSI meanM1 accuracy: 71.4% to 75.7%Helped
Use CBoW instead of SAE reconstruction with E-BERT (ablation)SyntDEC POSI · Penn Treebank WSJ 45-tag POSIM1 accuracy: 72.7 ($\pm$1.2) -> 74.4 ($\pm$0.6)Helped
Use CBoW instead of SAE reconstruction with mBERT (ablation)SyntDEC POSI · Penn Treebank WSJ 45-tag POSIM1 accuracy: 77.8 ($\pm$1.4) -> 75.9 ($\pm$0.3)Hurt
Add trailing trigram character embeddings rather than unigram embeddings (ablation)SyntDEC-Morph POSI · Penn Treebank WSJ 45-tag POSIM1 accuracy: 77.9 ($\pm$2.3) -> 79.5 ($\pm$0.9)Helped
Add trailing trigram character embeddings rather than bigram embeddings (ablation)SyntDEC-Morph POSI · Penn Treebank WSJ 45-tag POSIM1 accuracy: 77.4 ($\pm$2.4) -> 79.5 ($\pm$0.9)Helped
Represent spans by concatenating first and last token rather than mean pooling (ablation)SyntDEC CoLab · CoLab WSJ testF1μ: 40.8 ($\pm$1.1) -> 64.0 ($\pm$0.4)Helped
Fine-tune SAE span representations with SyntDEC clustering (ablation)CoLab with concatenated span endpoints · CoLab WSJ testF1μ: 61.2 ($\pm$1.2) -> 64.0 ($\pm$0.4)Helped
Use multilingual BERT rather than English BERT representations (ablation)SyntDEC CoLab · CoLab WSJ testF1μ: 60.8 ($\pm$0.7) -> 64.0 ($\pm$0.4)Helped

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