François Remy

Orcid: 0000-0003-4775-6975

According to our database1, François Remy authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights.
J. Am. Medical Informatics Assoc., 2024

Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP.
CoRR, 2024

In-Context Learning for Extreme Multi-Label Classification.
CoRR, 2024

2023
BioLORD-2023: Semantic Textual Representations Fusing LLM and Clinical Knowledge Graph Insights.
CoRR, 2023

Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation.
CoRR, 2023

Boosting Adverse Drug Event Normalization on Social Media: General-Purpose Model Initialization and Biomedical Semantic Text Similarity Benefit Zero-Shot Linking in Informal Contexts.
CoRR, 2023

Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge.
CoRR, 2023

Detecting Idiomatic Multiword Expressions in Clinical Terminology using Definition-Based Representation Learning.
Proceedings of the 19th Workshop on Multiword Expressions, 2023

BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022
Transfer Learning from Multi-Lingual Speech Translation Benefits Low-Resource Speech Recognition.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

BioLORD: Learning Ontological Representations from Definitions for Biomedical Concepts and their Textual Descriptions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022


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