Chunking and Dependency Parsing
Since chunking can be performed efficiently and accurately, it is attractive to use it as a preprocessing step in full parsing stages. We analyze whether providing chunk data to a statistical dependency parser can benefit its accuracy.
Dell'Orletta F., ATTARDI, GIUSEPPE
core
ABSTRACT The standard for assessing and recording the extent of the tumour, a necessity for most malignancies, is the Tumour Node Metastases (TNM) classification. The Union for International Cancer Control (UICC) TNM committee has defined this since the early 1950s.
James D. Brierley +8 more
wiley +1 more source
A hybrid approach for facial parsing using transfer learning. [PDF]
Shahed S +6 more
europepmc +1 more source
microeco 2: A comprehensive R package for downstream analysis of microbiome omics data
The current version 2.0 of the microeco package represents a substantial update compared to the previously published version. Key enhancements include the addition of new classes, integration of a broader suite of analytical methods, a comprehensive overhaul of the parameter system, improved connectivity between statistical analysis and visualization ...
Chi Liu +9 more
wiley +1 more source
Patient address parsing via KG-aware contrastive learning and constrained on-prem LLM inference. [PDF]
Li J, Pan X, Jia Y.
europepmc +1 more source
Facet‐engineered BiSI nanorods for intelligent distinguishing detection of NO2/H2S mixed gas
Mixed toxic gases such as NO2 and H2S can threaten safety in coal mines and industrial settings, but it is still difficult to monitor them accurately with a simple sensor. In this work, we improved a BiSI‐based room‐temperature gas sensor through crystal facet engineering and combined it with machine learning so that one sensor could distinguish mixed ...
Zhenze Zhou +4 more
wiley +1 more source
A Neuro-Symbolic Bioinformatics Framework for Unlocking Chordate Physiological Dark Data and Validating Allometric Scaling. [PDF]
Duan Z, Zhao G, Li C, Liu B.
europepmc +1 more source
Beyond Traditional Screening: The Future of Heart Failure Detection With Biomarkers and AI
Advancing HF Screening: Integrating Technology and Risk Factors Across Eras. This diagram provides a comprehensive review of the historical developments and projected trends of heart failure (HF) screening methodologies, with the prevalent risk factors for HF depicted at the base.
Xiaofeng Fang +9 more
wiley +1 more source
LCPAN: efficient variation graph construction using locally consistent parsing. [PDF]
Ashyralyyev A +7 more
europepmc +1 more source
Medical Reasoning With Large Language Models: A Systematic Review and Evaluation
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren +6 more
wiley +1 more source

