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How to Use Large Language Models for Text Coding: The Case of Fatherhood Roles in Public Policy Documents.

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Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence., , and . CoRR, (2020)Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution., , , , and . CoRR, (2024)On the Limitations of Sociodemographic Adaptation with Transformers., , , , and . CoRR, (2022)Robust Cross-Domain Sentiment Analysis for Low-Resource Languages., , and . WASSA@ACL, page 2-7. The Association for Computer Linguistics, (2014)Personality Traits on Twitter - or - How to Get 1, 500 Personality Tests in a Week., and . WASSA@EMNLP, page 92-98. The Association for Computer Linguistics, (2015)MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?, , , and . WASSA@EACL, page 269-273. Association for Computational Linguistics, (2021)Selection Bias, Label Bias, and Bias in Ground Truth., , and . COLING (Tutorials), page 11-13. ACL, (2014)Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender., , and . COLING, page 1221-1232. International Committee on Computational Linguistics, (2022)The Social and the Neural Network: How to Make Natural Language Processing about People again.. PEOPLES@NAACL-HTL, page 42-49. Association for Computational Linguistics, (2018)More or less supervised supersense tagging of Twitter., , , , and . *SEM@COLING, page 1-11. The *SEM 2014 Organizing Committee, (2014)