AIMC Topic: Semantics

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The Infectious Disease Ontology in the age of COVID-19.

Journal of biomedical semantics Jul 18, 2021
BACKGROUND: Effective response to public health emergencies, such as we are now experiencing with COVID-19, requires data sharing across multiple disciplines and data systems. Ontologies offer a powerful data sharing tool, and this holds especially f...
Semantics Biological Ontologies Data Mining Information Dissemination Epidemics Communicable Disease Control Communicable Diseases SARS-CoV-2 Public Health Computational Biology Humans COVID-19
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The neural representation of abstract words may arise through grounding word meaning in language itself.

Human brain mapping Jul 15, 2021
In order to describe how humans represent meaning in the brain, one must be able to account for not just concrete words but, critically, also abstract words, which lack a physical referent. Hebbian formalism and optimization are basic principles of b...
Semantics Cerebral Cortex Young Adult Models, Statistical Brain Mapping Adult Magnetoencephalography Male Psycholinguistics Concept Formation Adolescent Humans Machine Learning Reading Female
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BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine.

Journal of biomedical semantics Jul 15, 2021
BACKGROUND: Recent advances in representation learning have enabled large strides in natural language understanding; However, verbal reasoning remains a challenge for state-of-the-art systems. External sources of structured, expert-curated verb-relat...
Language Natural Language Processing Semantics
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Lidar-Camera Semi-Supervised Learning for Semantic Segmentation.

Sensors (Basel, Switzerland) Jul 14, 2021
In this work, we investigated two issues: (1) How the fusion of lidar and camera data can improve semantic segmentation performance compared with the individual sensor modalities in a supervised learning context; and (2) How fusion can also be levera...
Supervised Machine Learning Semantics Specimen Handling
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Weakly Supervised Crop Area Segmentation for an Autonomous Combine Harvester.

Sensors (Basel, Switzerland) Jul 14, 2021
Machine vision with deep learning is a promising type of automatic visual perception for detecting and segmenting an object effectively; however, the scarcity of labelled datasets in agricultural fields prevents the application of deep learning to ag...
Supervised Machine Learning Image Processing, Computer-Assisted Semantics Agriculture
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Semantic Textual Similarity in Japanese Clinical Domain Texts Using BERT.

Methods of information in medicine Jul 8, 2021
BACKGROUND: Semantic textual similarity (STS) captures the degree of semantic similarity between texts. It plays an important role in many natural language processing applications such as text summarization, question answering, machine translation, i...
Electronic Health Records Semantics Humans Natural Language Processing Japan Information Storage and Retrieval
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Automated Extraction of Phenotypic Leaf Traits of Individual Intact Herbarium Leaves from Herbarium Specimen Images Using Deep Learning Based Semantic Segmentation.

Sensors (Basel, Switzerland) Jul 2, 2021
With the increase in the digitization efforts of herbarium collections worldwide, dataset repositories such as iDigBio and GBIF now have hundreds of thousands of herbarium sheet images ready for exploration. Although this serves as a new source of pl...
Semantics Deep Learning Image Processing, Computer-Assisted Plant Leaves Plants
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Quadruplet-Based Deep Cross-Modal Hashing.

Computational intelligence and neuroscience Jul 2, 2021
Recently, benefitting from the storage and retrieval efficiency of hashing and the powerful discriminative feature extraction capability of deep neural networks, deep cross-modal hashing retrieval has drawn more and more attention. To preserve the se...
Semantics Neural Networks, Computer
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Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China.

BMC medical informatics and decision making Jun 26, 2021
BACKGROUND: With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information sharing. The openEHR approach can...
Electronic Health Records China Humans Semantics Natural Language Processing Feasibility Studies
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Abstraction and analogy-making in artificial intelligence.

Annals of the New York Academy of Sciences Jun 25, 2021
Conceptual abstraction and analogy-making are key abilities underlying humans' abilities to learn, reason, and robustly adapt their knowledge to new domains. Despite a long history of research on constructing artificial intelligence (AI) systems with...
Thinking Semantics Pattern Recognition, Automated Humans Artificial Intelligence Psychomotor Performance
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