Seraphina Goldfarb-Tarrant | DeepAI

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∙ 05/22/2023

This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models

Bias research in NLP seeks to analyse models for social biases, thus hel...

0 Seraphina Goldfarb-Tarrant, et al. ∙

∙ 05/22/2023

Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis

Sentiment analysis (SA) systems are widely deployed in many of the world...

0 Seraphina Goldfarb-Tarrant, et al. ∙

∙ 05/19/2023

Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages

Sentiment analysis (SA) systems are used in many products and hundreds o...

0 Seraphina Goldfarb-Tarrant, et al. ∙

∙ 04/14/2022

How Gender Debiasing Affects Internal Model Representations, and Why It Matters

Common studies of gender bias in NLP focus either on extrinsic bias meas...

0 Hadas Orgad, et al. ∙

∙ 12/31/2020

Intrinsic Bias Metrics Do Not Correlate with Application Bias

Natural Language Processing (NLP) systems learn harmful societal biases ...

0 Seraphina Goldfarb-Tarrant, et al. ∙

∙ 10/09/2020

Scaling Systematic Literature Reviews with Machine Learning Pipelines

Systematic reviews, which entail the extraction of data from large numbe...

0 Seraphina Goldfarb-Tarrant, et al. ∙

∙ 09/21/2020

Content Planning for Neural Story Generation with Aristotelian Rescoring

Long-form narrative text generated from large language models manages a ...

10 Seraphina Goldfarb-Tarrant, et al. ∙

∙ 04/04/2019

Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation

Story composition is a challenging problem for machines and even for hum...

0 Seraphina Goldfarb-Tarrant, et al. ∙

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