Bipol: A novel multi-axes bias evaluation metric with explainability for NLP-Reference-Cited by-同舟云学术

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Bipol: A novel multi-axes bias evaluation metric with explainability for NLP

Published:2023-09 Issue: Volume:4 Page:100030
ISSN:2949-7191
Container-title:Natural Language Processing Journal
language:en
Short-container-title:Natural Language Processing Journal

Author:

Alkhaled Lama,Adewumi Tosin^ORCID,Sabry Sana Sabah

Publisher

Elsevier BV

Reference46 articles.

1. Conversational systems in machine learning from the point of view of the philosophy of science—Using alime chat and related studies;Adewumi;Philosophies,2019

2. Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks;Adewumi;Open Comput. Sci.,2022

3. T5 for hate speech, augmented data and ensemble;Adewumi,2022

4. Antoniak, M., Mimno, D., 2021. Bad seeds: Evaluating lexical methods for bias measurement. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Vol. 1: Long Papers). pp. 1889–1904.

5. The gender gap tracker: Using natural language processing to measure gender bias in media;Asr;PLoS One,2021

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1. Creating a bias-free dataset with food delivery app reviews under data poisoning attack;Data in Brief;2024-08

2. Automated Invoice Processing System;2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2023-12-18

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