Papers by Luc Lamontagne
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well (2020.lrec-1)
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| Challenge: | Existing methods for fully unsupervised cross-lingual mapping of word embeddings are available to achieve such a mapping . |
| Approach: | They reproduce the experiments of Artetxe and Sgaard (2018) . they propose a robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. |
| Outcome: | The proposed method is feasible with minor assumptions, and it is able to be replicated in four languages. |
SMARTR: A Framework for Early Detection using Survival Analysis of Longitudinal Texts (2024.naacl-srw)
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| Challenge: | a paper aims to detect expensive insurance claims early using textual information from claims notes. |
| Approach: | They propose a model that leverages survival analysis concepts from claims notes to enhance a posteriori classification and early detection. |
| Outcome: | The proposed model improves classification and early detection without reducing performance . it is based on a privately held corpus of claim files from a Canadian insurer . |