Papers by Hugo Laurençon
The ROOTS Search Tool: Data Transparency for LLMs (2023.acl-demo)
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Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Sasha Luccioni, Yacine Jernite, Anna Rogers
| Challenge: | a 1.6TB multilingual text corpus is currently the largest language model . large language models are ubiquitous in modern NLP, used directly to generate text and as building blocks in downstream applications. |
| Approach: | They propose a search engine for the 1.6TB multilingual ROOTS corpus offering both fuzzy and exact search capabilities. |
| Outcome: | The ROOTS Search Tool is an open-source search engine for the 1.6TB multilingual ROOTs corpus. |
DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon (2022.tacl-1)
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Robin Algayres, Tristan Ricoul, Julien Karadayi, Hugo Laurençon, Salah Zaiem, Abdelrahman Mohamed, Benoît Sagot, Emmanuel Dupoux
| Challenge: | Existing nonparametric models for text segmentation use a Dirichlet process to jointly segment sentences and build a lexicon of word types. |
| Approach: | They propose a Bayesian nonparametric model that uses a Dirichlet process to jointly segment sentences and build a lexicon of word types. |
| Outcome: | The proposed model improves on the Zero Resource Speech Benchmark 2017 and can learn semantic and syntactic representations as assessed by a new spoken word embedding benchmark. |