Feb 1, 2023 · We propose a new mechanism to augment a word vector embedding representation that offers improved bias removal while retaining the key information.
We propose a new mechanism to augment a word vector embedding representation that offers improved bias removal while retaining the key information—resulting.
Interpretable Debiasing of Vectorized Language. Representations with Iterative Orthogonalization. Prince Osei Aboagye1, Yan Zheng2, Jack Shunn1, Chin-Chia.
Rather than removing the information associated with a concept that may induce bias, our proposed method identifies two concept subspaces and makes them ...
Aug 9, 2023 · We propose a new mechanism to augment a word vector embedding representation that offers improved bias removal while retaining the key ...
Showing paper suggestions for "Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization". Choose a paper to build a ...
Iterative Subspace Rectification (ISR): A new mechanism to augment a ...
github.com › poaboagye › ISR
We propose a new mechanism to augment a word vector embedding representation that offers improved bias removal while retaining the key information—resulting in ...
Jul 31, 2023 · ... Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization" Abstract: https://t.co/rPMRcQlNby Aug ...
Jan 20, 2023 · ... Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization." In our work, we introduced a novel debiasing ...
Interpretable debiasing of vectorized language representations with iterative orthogonalization. PO Aboagye, Y Zheng, J Shunn, CCM Yeh, J Wang, Z Zhuang, H Chen ...