Exploration and mitigation of gender bias in word embeddings from transformer-based language models

Exploration and mitigation of gender bias in word embeddings from transformer-based language models

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Chi tiết về thư mục
Những tác giả chính: Hossain, Ariyan, Haque, Rakinul, Hannan, Khondokar Mohammad Ahanaf, Rafa, Nowreen Tarannum, Musarrat, Humayra
Tác giả khác: Sadeque, Farig Yousuf
Định dạng: Luận văn
Ngôn ngữ:English
Được phát hành: Brac University 2024
Những chủ đề:
Natural Llnguage processing
Gender bias
Debiasing
Continued pretraining
Natural language processing (Computer science)
Truy cập trực tuyến:http://hdl.handle.net/10361/23457

Internet

http://hdl.handle.net/10361/23457

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