Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data
Sign Up to like & getrecommendations! Published in 2017 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2017.09.007
Abstract: Abstract As the basic units of urban areas, functional zones are essential for city planning and management, but functional-zone maps are hardly available in most cities, as traditional urban investigations focus mainly on land-cover objects… read more here.
Keywords: vhr satellite; semantic cognition; functional zones; hierarchical semantic ... See more keywords
Traditional Chinese medicine symptom normalization approach leveraging hierarchical semantic information and text matching with attention mechanism
Sign Up to like & getrecommendations! Published in 2021 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2021.103718
Abstract: Traditional Chinese medicine (TCM) symptom normalization is difficult because the challenges of the symptoms having different literal descriptions, one-to-many symptom descriptions and different symptoms sharing a similar literal description. We propose a novel two-step approach… read more here.
Keywords: medicine; hierarchical semantic; symptom normalization; semantic information ... See more keywords
Hierarchical Semantic Risk Minimization for Large-Scale Classification.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3059631
Abstract: Hierarchical structures of labels usually exist in large-scale classification tasks, where labels can be organized into a tree-shaped structure. The nodes near the root stand for coarser labels, while the nodes close to leaves mean… read more here.
Keywords: scale classification; semantic hierarchy; risk; large scale ... See more keywords
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0282882
Abstract: Medical natural language processing (NLP) systems are a key enabling technology for transforming Big Data from clinical report repositories to information used to support disease models and validate intervention methods. However, current medical NLP systems… read more here.
Keywords: hierarchical semantic; semantic compositional; framework; medical natural ... See more keywords