AIMC Topic: Semantics

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Domain specific word embeddings for natural language processing in radiology.

Journal of biomedical informatics Dec 15, 2020
BACKGROUND: There has been increasing interest in machine learning based natural language processing (NLP) methods in radiology; however, models have often used word embeddings trained on general web corpora due to lack of a radiology-specific corpus...
Machine Learning Natural Language Processing Radiology Unified Medical Language System Semantics
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Towards semantic interoperability: finding and repairing hidden contradictions in biomedical ontologies.

BMC medical informatics and decision making Dec 15, 2020
BACKGROUND: Ontologies are widely used throughout the biomedical domain. These ontologies formally represent the classes and relations assumed to exist within a domain. As scientific domains are deeply interlinked, so too are their representations. W...
Algorithms Semantics Biological Ontologies Humans
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Quality assurance and enrichment of biological and biomedical ontologies and terminologies.

BMC medical informatics and decision making Dec 15, 2020
Biological and biomedical ontologies and terminologies are used to organize and store various domain-specific knowledge to provide standardization of terminology usage and to improve interoperability. The growing number of such ontologies and termino...
Unified Medical Language System Vocabulary, Controlled Systematized Nomenclature of Medicine Biological Ontologies Humans Semantics
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KGen: a knowledge graph generator from biomedical scientific literature.

BMC medical informatics and decision making Dec 14, 2020
BACKGROUND: Knowledge is often produced from data generated in scientific investigations. An ever-growing number of scientific studies in several domains result into a massive amount of data, from which obtaining new knowledge requires computational ...
Humans Semantics Biological Ontologies Pattern Recognition, Automated Software Natural Language Processing
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Semi-supervised disentangled framework for transferable named entity recognition.

Neural networks : the official journal of the International Neural Network Society Dec 13, 2020
Named entity recognition (NER) for identifying proper nouns in unstructured text is one of the most important and fundamental tasks in natural language processing. However, despite the widespread use of NER models, they still require a large-scale la...
Language Natural Language Processing Humans Semantics Supervised Machine Learning Information Storage and Retrieval
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Continuous Similarity Learning with Shared Neural Semantic Representation for Joint Event Detection and Evolution.

Computational intelligence and neuroscience Dec 12, 2020
In the era of the rapid development of today's Internet, people often feel overwhelmed by vast official news streams or unofficial self-media tweets. To help people obtain the news topics they care about, there is a growing need for systems that can ...
Semantics Learning Humans Internet Neural Networks, Computer
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Predicting risk of dyslexia with an online gamified test.

PloS one Dec 2, 2020
Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online gamified ...
Adolescent Reading Humans Child Phonetics Risk Factors Dyslexia Language Machine Learning Video Games Male Female Memory, Short-Term Semantics Vision, Ocular Attention Neuropsychological Tests
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Transforming the study of organisms: Phenomic data models and knowledge bases.

PLoS computational biology Nov 24, 2020
The rapidly decreasing cost of gene sequencing has resulted in a deluge of genomic data from across the tree of life; however, outside a few model organism databases, genomic data are limited in their scientific impact because they are not accompanie...
Phenomics Models, Biological Knowledge Bases Humans Classification Databases, Genetic Animals Gene-Environment Interaction Models, Statistical Ecosystem Computational Biology Semantics Phenotype Models, Genetic
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Learning sparse and meaningful representations through embodiment.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2020
How do humans acquire a meaningful understanding of the world with little to no supervision or semantic labels provided by the environment? Here we investigate embodiment with a closed loop between action and perception as one key component in this p...
Humans Neural Networks, Computer Semantics Pattern Recognition, Automated Deep Learning Reinforcement, Psychology
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Modality independent adversarial network for generalized zero shot image classification.

Neural networks : the official journal of the International Neural Network Society Nov 21, 2020
Zero Shot Learning (ZSL) aims to classify images of unseen target classes by transferring knowledge from source classes through semantic embeddings. The core of ZSL research is to embed both visual representation of object instance and semantic descr...
Pattern Recognition, Automated Machine Learning Neural Networks, Computer Databases, Factual Semantics
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