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Measuring and Reducing Gendered Correlations in Pre-trained Models
Pre-trained models have revolutionized natural language understanding. H...
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Scalable Cross Lingual Pivots to Model Pronoun Gender for Translation
Machine translation systems with inadequate document understanding can m...
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Syntactic Data Augmentation Increases Robustness to Inference Heuristics
Pretrained neural models such as BERT, when fine-tuned to perform natura...
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Collecting Entailment Data for Pretraining: New Protocols and Negative Results
Textual entailment (or NLI) data has proven useful as pretraining data f...
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Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension
Reading comprehension models have been successfully applied to extractiv...
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Synthetic QA Corpora Generation with Roundtrip Consistency
We introduce a novel method of generating synthetic question answering c...
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Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
The rise of neural networks, and particularly recurrent neural networks,...
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Natural Language Processing with Small Feed-Forward Networks
We show that small and shallow feed-forward neural networks can achieve ...
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