AIMC Topic: Semantics

Clear Filters Showing 571 to 580 of 1420 articles

MedTAG: a portable and customizable annotation tool for biomedical documents.

BMC medical informatics and decision making Dec 18, 2021
BACKGROUND: Semantic annotators and Natural Language Processing (NLP) methods for Named Entity Recognition and Linking (NER+L) require plenty of training and test data, especially in the biomedical domain. Despite the abundance of unstructured biomed...
Humans Algorithms Natural Language Processing Semantics Names
View on PubMed DOI

A Multi-RNN Research Topic Prediction Model Based on Spatial Attention and Semantic Consistency-Based Scientific Influence Modeling.

Computational intelligence and neuroscience Dec 18, 2021
Computer science discipline includes many research fields, which mutually influence and promote each other's development. This poses two great challenges of predicting the research topics of each research field. One is how to model fine-grained topic...
Neural Networks, Computer Learning Models, Theoretical Attention Semantics
View on PubMed DOI

Metaknowledge Enhanced Open Domain Question Answering with Wiki Documents.

Sensors (Basel, Switzerland) Dec 17, 2021
The commonly-used large-scale knowledge bases have been facing challenges in open domain question answering tasks which are caused by the loose knowledge association and weak structural logic of triplet-based knowledge. To find a way out of this dile...
Knowledge Bases Semantics
View on PubMed DOI

Fast writer adaptation with style extractor network for handwritten text recognition.

Neural networks : the official journal of the International Neural Network Society Dec 9, 2021
Writing style is an abstract attribute in handwritten text. It plays an important role in recognition systems and is not easy to define explicitly. Considering the effect of writing style, a writer adaptation method is proposed to transform a writer-...
Neural Networks, Computer Algorithms Semantics
View on PubMed DOI

LIO-CSI: LiDAR inertial odometry with loop closure combined with semantic information.

PloS one Dec 8, 2021
Accurate and reliable state estimation and mapping are the foundation of most autonomous driving systems. In recent years, researchers have focused on pose estimation through geometric feature matching. However, most of the works in the literature as...
Humans Neural Networks, Computer Algorithms Automobile Driving Semantics Generalization, Psychological Semantic Web
View on PubMed DOI

MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network.

IEEE transactions on pattern analysis and machine intelligence Dec 7, 2021
Visual Question Answering (VQA) is a task to answer natural language questions tied to the content of visual images. Most recent VQA approaches usually apply attention mechanism to focus on the relevant visual objects and/or consider the relations be...
Algorithms Natural Language Processing Semantics
View on PubMed DOI

A contextual multi-task neural approach to medication and adverse events identification from clinical text.

Journal of biomedical informatics Dec 4, 2021
Effective wide-scale pharmacovigilance calls for accurate named entity recognition (NER) of medication entities such as drugs, dosages, reasons, and adverse drug events (ADE) from clinical text. The scarcity of adverse event annotations and underlyin...
Neural Networks, Computer Decision Support Systems, Clinical Natural Language Processing Pharmacovigilance Semantics
View on PubMed DOI

Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention.

Journal of chemical information and modeling Dec 2, 2021
Discovering new materials better suited to specific purposes is an important issue in improving the quality of human life. Here, a neural network that creates molecules that meet some desired multiple target conditions based on a deep understanding o...
Humans Neural Networks, Computer Machine Learning Language Molecular Structure Semantics
View on PubMed DOI

Real-Time Semantic Segmentation with Dual Encoder and Self-Attention Mechanism for Autonomous Driving.

Sensors (Basel, Switzerland) Dec 2, 2021
As the techniques of autonomous driving become increasingly valued and universal, real-time semantic segmentation has become very popular and challenging in the field of deep learning and computer vision in recent years. However, in order to apply th...
Neural Networks, Computer Image Processing, Computer-Assisted Automobile Driving Semantics
View on PubMed DOI

Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation.

IEEE transactions on medical imaging Nov 30, 2021
Suboptimal generalization of machine learning models on unseen data is a key challenge which hampers the clinical applicability of such models to medical imaging. Although various methods such as domain adaptation and domain generalization have evolv...
Machine Learning Semantics
View on PubMed DOI
Popular Topics
Recent Journals