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Found 4 papers, 2 papers with code
Examining risks of racial biases in NLP tools for child protective services
Given well-established racial bias in this setting, we investigate possible ways deployed NLP is liable to increase racial disparities.
Mention Annotations Alone Enable Efficient Domain Adaptation for Coreference Resolution
Although recent neural models for coreference resolution have led to substantial improvements on benchmark datasets, transferring these models to new target domains containing out-of-vocabulary spans and requiring differing annotation schemes remains challenging.
Improving Span Representation for Domain-adapted Coreference Resolution
Recent work has shown fine-tuning neural coreference models can produce strong performance when adapting to different domains.
Multi-dimensional Features for Prediction with Tweets
We explore the predictive power of micro-blogging social media website Twitter with respect to HIV new diagnosis rates per county.
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