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pro vyhledávání: '"Abaho, Micheal"'
Adapting language models (LMs) to novel domains is often achieved through fine-tuning a pre-trained LM (PLM) on domain-specific data. Fine-tuning introduces new knowledge into an LM, enabling it to comprehend and efficiently perform a target domain t
Externí odkaz:
http://arxiv.org/abs/2403.18025
Autor:
Abaho, Micheal, Alfaifi, Yousef H.
Publikováno v:
Journal of Artificial Intelligence Research, 78, 2023, 269-285
Injecting textual information into knowledge graph (KG) entity representations has been a worthwhile expedition in terms of improving performance in KG oriented tasks within the NLP community. External knowledge often adopted to enhance KG embeddings
Externí odkaz:
http://arxiv.org/abs/2307.15776
Publikováno v:
European Journal of Biomedical Informatics, 2021
Automating the recognition of outcomes reported in clinical trials using machine learning has a huge potential of speeding up access to evidence necessary in healthcare decision-making. Prior research has however acknowledged inadequate training corp
Externí odkaz:
http://arxiv.org/abs/2203.03547