{"id":"W7015576738","doi":"","title":"TagDebias: Entity and Concept Typing for Social Bias Mitigation in Pretrained Language Models","year":2024,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Corpus linguistics; Personal pronoun","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":{"n_in":0,"stratum":"french","weight":1554.46666666667,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"medium","reason":"Thesis proposing a tagging approach to mitigate social bias in pretrained language models; AI-fairness method development, where bias refers to model bias, not research bias."},"gpt":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"It develops a method for mitigating bias in language models, not bias or practice in research."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"NLP method to mitigate gender bias in pretrained language models; AI fairness, not study of research practice."}}}