AIMC Topic: Semantics

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From electronic health records to terminology base: A novel knowledge base enrichment approach.

Journal of biomedical informatics Nov 21, 2020
Enriching terminology base (TB) is an important and continuous process, since formal term can be renamed and new term alias emerges all the time. As a potential supplementary for TB enrichment, electronic health record (EHR) is a fundamental source f...
China Natural Language Processing Electronic Health Records Semantics Knowledge Bases
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Learning Dual Encoding Model for Adaptive Visual Understanding in Visual Dialogue.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Nov 18, 2020
Different from Visual Question Answering task that requires to answer only one question about an image, Visual Dialogue task involves multiple rounds of dialogues which cover a broad range of visual content that could be related to any objects, relat...
Semantics Machine Learning Natural Language Processing Image Processing, Computer-Assisted Cognition Models, Neurological Humans
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Robust facial landmark detection by cross-order cross-semantic deep network.

Neural networks : the official journal of the International Neural Network Society Nov 16, 2020
Recently, convolutional neural networks (CNNs)-based facial landmark detection methods have achieved great success. However, most of existing CNN-based facial landmark detection methods have not attempted to activate multiple correlated facial parts ...
Semantics Face Automated Facial Recognition Semantic Web Humans Neural Networks, Computer
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List-wise learning to rank biomedical question-answer pairs with deep ranking recursive autoencoders.

PloS one Nov 9, 2020
Biomedical question answering (QA) represents a growing concern among industry and academia due to the crucial impact of biomedical information. When mapping and ranking candidate snippet answers within relevant literature, current QA systems typical...
Information Storage and Retrieval Humans Semantics Biological Ontologies Deep Learning Natural Language Processing
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Guided Attention Inference Network.

IEEE transactions on pattern analysis and machine intelligence Nov 3, 2020
With only coarse labels, weakly supervised learning typically uses top-down attention maps generated by back-propagating gradients as priors for tasks such as object localization and semantic segmentation. While these attention maps are intuitive and...
Neural Networks, Computer Semantics Pattern Recognition, Automated Image Processing, Computer-Assisted Supervised Machine Learning
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Interactive Dual Attention Network for Text Sentiment Classification.

Computational intelligence and neuroscience Nov 3, 2020
Text sentiment classification is an essential research field of natural language processing. Recently, numerous deep learning-based methods for sentiment classification have been proposed and achieved better performances compared with conventional ma...
Semantics Algorithms Machine Learning Linguistics Natural Language Processing
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SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation.

Computational intelligence and neuroscience Oct 22, 2020
Context-aware citation recommendation aims to automatically predict suitable citations for a given citation context, which is essentially helpful for researchers when writing scientific papers. In existing neural network-based approaches, overcorrela...
Semantics Neural Networks, Computer
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Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations.

Cognition Oct 20, 2020
Eye movements are vital for human vision, and it is therefore important to understand how observers decide where to look. Meaning maps (MMs), a technique to capture the distribution of semantic information across an image, have recently been proposed...
Humans Eye Movements Semantics Neural Networks, Computer
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Violence detection explanation via semantic roles embeddings.

BMC medical informatics and decision making Oct 15, 2020
BACKGROUND: Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descriptions as containing violenc...
Humans Neural Networks, Computer Female Aged Semantics Natural Language Processing Child Violence Italy
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Optimal forgetting: Semantic compression of episodic memories.

PLoS computational biology Oct 15, 2020
It has extensively been documented that human memory exhibits a wide range of systematic distortions, which have been associated with resource constraints. Resource constraints on memory can be formalised in the normative framework of lossy compressi...
Data Compression Memory, Episodic Models, Neurological Semantics Deep Learning Humans Algorithms
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