Zobrazeno 1 - 10
of 241
pro vyhledávání: '"Dufour, Richard"'
Publikováno v:
Journal of Open Source Software, 9(98), 6574 (2024)
Renard (Relationships Extraction from NARrative Documents) is a Python library that allows users to define custom natural language processing (NLP) pipelines to extract character networks from narrative texts. Contrary to the few existing tools, Rena
Externí odkaz:
http://arxiv.org/abs/2407.02284
Publikováno v:
InterSpeech 2024
In the rapidly evolving landscape of spoken question-answering (SQA), the integration of large language models (LLMs) has emerged as a transformative development. Conventional approaches often entail the use of separate models for question audio tran
Externí odkaz:
http://arxiv.org/abs/2406.05876
Deep learning architectures have made significant progress in terms of performance in many research areas. The automatic speech recognition (ASR) field has thus benefited from these scientific and technological advances, particularly for acoustic mod
Externí odkaz:
http://arxiv.org/abs/2402.19443
Writing a scientific article is a challenging task as it is a highly codified and specific genre, consequently proficiency in written communication is essential for effectively conveying research findings and ideas. In this article, we propose an ori
Externí odkaz:
http://arxiv.org/abs/2403.00241
Publikováno v:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Subword tokenization has become the prevailing standard in the field of natural language processing (NLP) over recent years, primarily due to the widespread utilization of pre-trained language models. This shift began with Byte-Pair Encoding (BPE) an
Externí odkaz:
http://arxiv.org/abs/2402.15010
Autor:
Labrak, Yanis, Bazoge, Adrien, Khettari, Oumaima El, Rouvier, Mickael, Beaufils, Pacome Constant dit, Grabar, Natalia, Daille, Beatrice, Quiniou, Solen, Morin, Emmanuel, Gourraud, Pierre-Antoine, Dufour, Richard
Publikováno v:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
The biomedical domain has sparked a significant interest in the field of Natural Language Processing (NLP), which has seen substantial advancements with pre-trained language models (PLMs). However, comparing these models has proven challenging due to
Externí odkaz:
http://arxiv.org/abs/2402.13432
Recent advances in pre-trained language modeling have facilitated significant progress across various natural language processing (NLP) tasks. Word masking during model training constitutes a pivotal component of language modeling in architectures li
Externí odkaz:
http://arxiv.org/abs/2402.12036
Autor:
Labrak, Yanis, Bazoge, Adrien, Morin, Emmanuel, Gourraud, Pierre-Antoine, Rouvier, Mickael, Dufour, Richard
Publikováno v:
Proceedings of the 62st Annual Meeting of the Association for Computational Linguistics - Volume 1: Long Papers (ACL 2024)
Large Language Models (LLMs) have demonstrated remarkable versatility in recent years, offering potential applications across specialized domains such as healthcare and medicine. Despite the availability of various open-source LLMs tailored for healt
Externí odkaz:
http://arxiv.org/abs/2402.10373