AIMC Topic: Semantics

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Chinese clinical named entity recognition with radical-level feature and self-attention mechanism.

Journal of biomedical informatics Sep 18, 2019
Named entity recognition is a fundamental and crucial task in medical natural language processing problems. In medical fields, Chinese clinical named entity recognition identifies boundaries and types of medical entities from unstructured text such a...
Humans Neural Networks, Computer Text Messaging Natural Language Processing Attention Semantics Pattern Recognition, Automated Medical Informatics Algorithms Electronic Health Records Language China
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Adverse drug reaction detection via a multihop self-attention mechanism.

BMC bioinformatics Sep 18, 2019
BACKGROUND: The adverse reactions that are caused by drugs are potentially life-threatening problems. Comprehensive knowledge of adverse drug reactions (ADRs) can reduce their detrimental impacts on patients. Detecting ADRs through clinical trials ta...
Neural Networks, Computer Drug-Related Side Effects and Adverse Reactions Attention Humans Semantics
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EUSKOR: End-to-end coreference resolution system for Basque.

PloS one Sep 12, 2019
This paper describes the process of adapting the Stanford Coreference resolution module to the Basque language, taking into account the characteristics of the language. The module has been integrated in a linguistic analysis pipeline obtaining an end...
Pattern Recognition, Automated Humans Spain Natural Language Processing Language Semantics
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Label-activating framework for zero-shot learning.

Neural networks : the official journal of the International Neural Network Society Sep 6, 2019
Existing zero-shot learning (ZSL) models usually learn mappings between visual space and semantic space. However, few of them take the label information into account. Indirect Attribute Prediction (IAP) learns the posterior probability of each attrib...
Machine Learning Animals Semantics Humans
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Towards a characterization of apparent contradictions in the biomedical literature using context analysis.

Journal of biomedical informatics Aug 29, 2019
BACKGROUND: With the substantial growth in the biomedical research literature, a larger number of claims are published daily, some of which seemingly disagree with or contradict prior claims on the same topics. Resolving such contradictions is critic...
Humans Reproducibility of Results Publications PubMed Information Storage and Retrieval Semantics Biomedical Research Natural Language Processing
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A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering.

Computational intelligence and neuroscience Aug 21, 2019
Deep learning is the crucial technology in intelligent question answering research tasks. Nowadays, extensive studies on question answering have been conducted by adopting the methods of deep learning. The challenge is that it not only requires an ef...
Semantics Computer Simulation Information Storage and Retrieval Neural Networks, Computer Algorithms
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A Natural-language-based Visual Query Approach of Uncertain Human Trajectories.

IEEE transactions on visualization and computer graphics Aug 20, 2019
Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On the one hand, many underlying data does not contain accurate ge...
User-Computer Interface Natural Language Processing Movement Computer Graphics Semantics Algorithms Databases, Factual Humans Uncertainty
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EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos.

IEEE transactions on visualization and computer graphics Aug 20, 2019
Emotions play a key role in human communication and public presentations. Human emotions are usually expressed through multiple modalities. Therefore, exploring multimodal emotions and their coherence is of great value for understanding emotional exp...
Video Recording Semantics Computer Graphics Pattern Recognition, Automated Neural Networks, Computer Humans Image Processing, Computer-Assisted Emotions
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Visual Interaction with Deep Learning Models through Collaborative Semantic Inference.

IEEE transactions on visualization and computer graphics Aug 19, 2019
Automation of tasks can have critical consequences when humans lose agency over decision processes. Deep learning models are particularly susceptible since current black-box approaches lack explainable reasoning. We argue that both the visual interfa...
Semantics Computer Graphics Deep Learning User-Computer Interface Computer Simulation Writing Humans
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Formal Medical Knowledge Representation Supports Deep Learning Algorithms, Bioinformatics Pipelines, Genomics Data Analysis, and Big Data Processes.

Yearbook of medical informatics Aug 16, 2019
OBJECTIVE: To select, present, and summarize the best papers published in 2018 in the field of Knowledge Representation and Management (KRM).
Genetic Association Studies Computational Biology Data Mining Big Data Genomics Knowledge Management Semantics Biological Ontologies Data Analysis Deep Learning Artificial Intelligence
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