Results 71 to 80 of about 2,690,170 (252)
Applied Sciences, 2020 In well-spaced Korean sentences, morphological analysis is the first step in natural language processing, in which a Korean sentence is segmented into a sequence of morphemes and the parts of speech of the segmented morphemes are determined. Named entity
Hongjin Kim, Harksoo Kim
doaj +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Advanced Science, EarlyView.Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source
Malay Named Entity Recognition: A Review
Journal of ICT in Education, 2015 The Named Entity Recognition (NER) field had been thriving for more than 15 years. NER could be defined as a process that recognizes named entities, such as the names of persons, organizations, locations, times, and quantities.
Farid Morsidi +4 more
doaj
Chinese Named Entity Recognition Integrating Positional and Entity Category Information [PDF]
Jisuanji gongchengWords play a crucial role as contextual information in Chinese Named Entity Recognition (NER) tasks. Although character-based methods have achieved some success, existing methods simplistically embed word information and use a limited feature capture ...
YANG Junhui, LI Sujin
doaj +1 more source
Towards a Compositional Framework for Describing Human Phenotypes
Advanced Science, EarlyView.The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
Effective vector representation for the Korean named-entity recognition
, 2019 Named-entity recognition, part of information extraction, is the task of finding the position of a proper names in a sentence and assigning it to the correct category.
Ko, Youngjoong +2 more
core +1 more source
Spatial Au+ Mapping Reveals a Self‐Amplifying Anti‐Tumor Immunity Loop Driven by Au(I) Complexes
Advanced Science, EarlyView.The first report of spatial Au+ mapping of a representative gold complex (Au9). Macrophages, DCs, and tumor cells ranked as the top three in Au+ enrichment after Au9 treatment. Interestingly, Au9 treatment could induce ferroptosis and suppress cellular cholesterol, further eliciting a self‐amplifying anti‐tumor immunity loop.
Zhongren Xu +5 more
wiley +1 more source
Advanced Science, EarlyView.The transcription factor MoSR governs DMI fungicide sensitivity in Magnaporthe oryzae through dual regulation of ergosterol biosynthesis and the detoxification enzyme MoDde1. Targeting MoDde1 via a small‐molecule inhibitor or host‐induced gene silencing enhances DMI efficacy against rice blast, offering a sustainable disease management strategy ...
Fan‐Zhu Meng +10 more
wiley +1 more source
Boosting for Named Entity Recognition [PDF]
, 2002 This paper presents a system that applies boosting to the task of named-entity identification. The CoNLL-2002 shared task, for which the system is designed, is language-independent named-entity recognition.
Clear Water Bay +4 more
core +2 more sources
Advanced Science, EarlyView.This study employs a spouse‐pair cohort design and an idopNetwork model that integrates evolutionary game theory, predator‐prey dynamics, and developmental modularity theory to reconstruct maximally informative microbial interaction networks. This approach reveals how interspecies interactions drive the phenotypic plasticity of the gut microbiota in ...
Huizhen Li +15 more
wiley +1 more source