Zobrazeno 1 - 10
of 1 941
pro vyhledávání: '"P. Pergola"'
Autor:
Lyu, Chen, Pergola, Gabriele
Biomedical literature is often written in highly specialized language, posing significant comprehension challenges for non-experts. Automatic text simplification (ATS) offers a solution by making such texts more accessible while preserving critical i
Externí odkaz:
http://arxiv.org/abs/2410.09632
Autor:
Lyu, Chen, Pergola, Gabriele
Medical text simplification is crucial for making complex biomedical literature more accessible to non-experts. Traditional methods struggle with the specialized terms and jargon of medical texts, lacking the flexibility to adapt the simplification p
Externí odkaz:
http://arxiv.org/abs/2410.09631
Predicting unknown drug-drug interactions (DDIs) is crucial for improving medication safety. Previous efforts in DDI prediction have typically focused on binary classification or predicting DDI categories, with the absence of explanatory insights tha
Externí odkaz:
http://arxiv.org/abs/2409.05592
Generating event graphs from long documents is challenging due to the inherent complexity of multiple tasks involved such as detecting events, identifying their relationships, and reconciling unstructured input with structured graphs. Recent studies
Externí odkaz:
http://arxiv.org/abs/2406.18449
Drug safety research is crucial for maintaining public health, often requiring comprehensive data support. However, the resources currently available to the public are limited and fail to provide a comprehensive understanding of the relationship betw
Externí odkaz:
http://arxiv.org/abs/2407.01585
Pathology reports are rich in clinical and pathological details but are often presented in free-text format. The unstructured nature of these reports presents a significant challenge limiting the accessibility of their content. In this work, we prese
Externí odkaz:
http://arxiv.org/abs/2405.02040
Event temporal graphs have been shown as convenient and effective representations of complex temporal relations between events in text. Recent studies, which employ pre-trained language models to auto-regressively generate linearised graphs for const
Externí odkaz:
http://arxiv.org/abs/2404.01532
Autor:
S. Fishbane, R. Provenzano, P. Pergola, L. Szczech, R. Leong, K. Saikali, M. Zhong, T. Lee, D. Little, M. Houser, L. Frison, J. Houghton, K.H.P. Yu
Publikováno v:
Kidney International Reports, Vol 6, Iss 4, Pp S109-S110 (2021)
Externí odkaz:
https://doaj.org/article/3428a175e24049b9a527897cb4897f7f
Publikováno v:
Kidney International Reports, Vol 6, Iss 4, Pp S120-S121 (2021)
Externí odkaz:
https://doaj.org/article/cfc0b72909ff4787be827c04ed0abb57
Autor:
R. Provenzano, S. Fishbane, P. Pergola, L. Szczech, R. Leong, K. Saikali, M. Zhong, T. Lee, M. Houser, D. Little, L. Frison, J. Houghton, K.H.P. Yu
Publikováno v:
Kidney International Reports, Vol 6, Iss 4, Pp S121- (2021)
Externí odkaz:
https://doaj.org/article/e91621367ac2415396eed97352260bbf