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Seraphina Goldfarb-Tarrant

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


May 22, 2023
Seraphina Goldfarb-Tarrant, Eddie Ungless, Esma Balkir, Su Lin Blodgett

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* Accepted to ACL Findings 2023 

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Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis


May 22, 2023
Seraphina Goldfarb-Tarrant, Björn Ross, Adam Lopez

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* 8 pages, preprint 

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


May 19, 2023
Seraphina Goldfarb-Tarrant, Adam Lopez, Roi Blanco, Diego Marcheggiani

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* 5 pages, accepted to Findings of ACL 2023 

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


Apr 14, 2022
Hadas Orgad, Seraphina Goldfarb-Tarrant, Yonatan Belinkov

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* Accepted to NAACL 2022 

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Intrinsic Bias Metrics Do Not Correlate with Application Bias


Jan 02, 2021
Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sanchez, Mugdha Pandya, Adam Lopez

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* early draft first preprint. 8 pages 

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Content Planning for Neural Story Generation with Aristotelian Rescoring


Oct 09, 2020
Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph Weischedel, Nanyun Peng

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* EMNLP 2020, 9 pages 

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Scaling Systematic Literature Reviews with Machine Learning Pipelines


Oct 09, 2020
Seraphina Goldfarb-Tarrant, Alexander Robertson, Jasmina Lazic, Theodora Tsouloufi, Louise Donnison, Karen Smyth

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* In EMNLP 2020 Scholarly Document Processing Workshop 

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


Apr 18, 2019
Seraphina Goldfarb-Tarrant, Haining Feng, Nanyun Peng

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* Accepted to NAACL 2019 Demo Track, 5 pages 

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