AIMC Topic: Semantics

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Enhancement of Target-Oriented Opinion Words Extraction with Multiview-Trained Machine Reading Comprehension Model.

Computational intelligence and neuroscience Mar 27, 2021
Target-oriented opinion words extraction (TOWE) seeks to identify opinion expressions oriented to a specific target, and it is a crucial step toward fine-grained opinion mining. Recent neural networks have achieved significant success in this task by...
Knowledge Semantics Neural Networks, Computer Learning Comprehension
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SIENA: Semi-automatic semantic enhancement of datasets using concept recognition.

Journal of biomedical semantics Mar 24, 2021
BACKGROUND: The amount of available data, which can facilitate answering scientific research questions, is growing. However, the different formats of published data are expanding as well, creating a serious challenge when multiple datasets need to be...
Semantics Biological Ontologies Machine Learning
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Protocol for a reproducible experimental survey on biomedical sentence similarity.

PloS one Mar 24, 2021
Measuring semantic similarity between sentences is a significant task in the fields of Natural Language Processing (NLP), Information Retrieval (IR), and biomedical text mining. For this reason, the proposal of sentence similarity methods for the bio...
Natural Language Processing PubMed Data Mining Semantics Language Surveys and Questionnaires Software
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Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning.

The Journal of neuroscience : the official journal of the Society for Neuroscience Mar 22, 2021
Understanding how and where in the brain sentence-level meaning is constructed from words presents a major scientific challenge. Recent advances have begun to explain brain activation elicited by sentences using vector models of word meaning derived ...
Humans Neural Networks, Computer Female Young Adult Adult Computer Simulation Language Cerebral Cortex Comprehension Reading Magnetic Resonance Imaging Semantics Male Middle Aged
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Tongue Tumor Detection in Hyperspectral Images Using Deep Learning Semantic Segmentation.

IEEE transactions on bio-medical engineering Mar 18, 2021
OBJECTIVE: The utilization of hyperspectral imaging (HSI) in real-time tumor segmentation during a surgery have recently received much attention, but it remains a very challenging task.
Humans Tongue Neoplasms Tongue Semantics Carcinoma, Squamous Cell Deep Learning
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Attend and Guide (AG-Net): A Keypoints-Driven Attention-Based Deep Network for Image Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 17, 2021
This article presents a novel keypoints-based attention mechanism for visual recognition in still images. Deep Convolutional Neural Networks (CNNs) for recognizing images with distinctive classes have shown great success, but their performance in dis...
Image Processing, Computer-Assisted Male Semantics Deep Learning Human Activities Humans Female
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Anomalous Behavior Detection Framework Using HTM-Based Semantic Folding Technique.

Computational and mathematical methods in medicine Mar 16, 2021
Upon the working principles of the human neocortex, the Hierarchical Temporal Memory model has been developed which is a proposed theoretical framework for sequence learning. Both categorical and numerical types of data are handled by HTM. Semantic F...
Computational Biology Neocortex Models, Neurological Algorithms Humans Learning Natural Language Processing Neural Networks, Computer Pattern Recognition, Automated Electronic Data Processing Semantics Memory Machine Learning
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Finding event structure in time: What recurrent neural networks can tell us about event structure in mind.

Cognition Mar 10, 2021
Under a theory of event representations that defines events as dynamic changes in objects across both time and space, as in the proposal of Intersecting Object Histories (Altmann & Ekves, 2019), the encoding of changes in state is a fundamental first...
Humans Semantics Neural Networks, Computer Language
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Knowledge graph embedding with shared latent semantic units.

Neural networks : the official journal of the International Neural Network Society Feb 27, 2021
Knowledge graph embedding (KGE) aims to project both entities and relations into a continuous low-dimensional space. However, for a given knowledge graph (KG), only a small number of entities and relations occur many times, while the vast majority of...
Knowledge Bases Semantics Pattern Recognition, Automated Neural Networks, Computer
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Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization.

Neural networks : the official journal of the International Neural Network Society Feb 24, 2021
Although zero-shot learning (ZSL) has an inferential capability of recognizing new classes that have never been seen before, it always faces two fundamental challenges of the cross modality and cross-domain challenges. In order to alleviate these pro...
Humans Machine Learning Knowledge Bases Semantics Classification
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