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How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns

This repository contains code connected to the paper "How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns." accepted at NAACL 2022.

Please refer to the paper for further details.

Perplexity scores and attention flow

So far, we provide code to compute perplexity scores and correlate them with pre-computed flow values. To carry out this analysis for Swedish, you first need to download the file "HEN_preprocessing_scripts/HENprepdata.txt" here and include the local data path into config.yaml. For Danish and English you find the translated version of that dataset here in the repo under data/stimuli/{lan}_translated_{pron}.pkl.

In config.yaml you also need to set the language (currently: en, da, sv) and the corresponding pronoun (they/xe, de/høn, hen respectively) and then run run_perplexity_flow.py

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