Papers by Leo Hemamou

2 papers
Delivering Fairness in Human Resources AI: Mutual Information to the Rescue (2022.aacl-main)

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Challenge: Automated language processing is used in the Human Resources sector for automated candidate sourcing and evaluation of resumes.
Approach: They propose to minimize the MI between a candidate’s name and a latent representation of their CV or short biography by first projecting the name representation into a smaller space to prevent potential MI minimization problems in high dimensions.
Outcome: The proposed method minimizes the MI between a candidate’s name and a latent representation of their CV or short biography.
CoFE: A New Dataset of Intra-Multilingual Multi-target Stance Classification from an Online European Participatory Democracy Platform (2022.aacl-short)

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Challenge: Stance Recognition is a useful tool for many real-life applications, from misinformation detection to poll verification.
Approach: They propose to use an online debating platform where users can submit proposals and comment over proposals or over other comments.
Outcome: The proposed dataset contains 4.2k proposals and 20k comments on various topics.

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