AIMC Topic: Word Processing

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The influence of preprocessing on text classification using a bag-of-words representation.

PloS one May 1, 2020
Text classification (TC) is the task of automatically assigning documents to a fixed number of categories. TC is an important component in many text applications. Many of these applications perform preprocessing. There are different types of text pre...
Databases, Factual Language Natural Language Processing Supervised Machine Learning Humans Algorithms Data Mining Text Messaging Word Processing
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Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis.

Journal of medical Internet research Feb 25, 2020
BACKGROUND: With the continuous development of the internet and the explosive growth in data, big data technology has emerged. With its ongoing development and application, cloud computing technology provides better data storage and analysis. The dev...
Artificial Intelligence Biomedical Research Cloud Computing Word Processing Humans
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Abstractive summarization of long texts by representing multiple compositionalities with temporal hierarchical pointer generator network.

Neural networks : the official journal of the International Neural Network Society Dec 31, 2019
In order to tackle the problem of abstractive summarization of long multi-sentence texts, it is critical to construct an efficient model, which can learn and represent multiple compositionalities better. In this paper, we introduce a temporal hierarc...
Periodicals as Topic Word Processing Machine Learning
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Tool-supported Interactive Correction and Semantic Annotation of Narrative Clinical Reports.

Methods of information in medicine Apr 28, 2017
OBJECTIVES: Our main objective is to design a method of, and supporting software for, interactive correction and semantic annotation of narrative clinical reports, which would allow for their easier and less erroneous processing outside their origina...
Data Accuracy Guidelines as Topic Semantics International Classification of Diseases Writing Machine Learning Vocabulary, Controlled Electronic Health Records Software Meaningful Use User-Computer Interface Word Processing Natural Language Processing
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Automated selection of brain regions for real-time fMRI brain-computer interfaces.

Journal of neural engineering Nov 30, 2016
OBJECTIVE: Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site exp...
Sensitivity and Specificity Male Computer Systems Magnetic Resonance Imaging Female Reproducibility of Results Adult Task Performance and Analysis Nerve Net Visual Perception Visual Cortex Unsupervised Machine Learning Brain Mapping Principal Component Analysis Brain-Computer Interfaces Humans Word Processing
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Training and testing ERP-BCIs under different mental workload conditions.

Journal of neural engineering Dec 10, 2015
OBJECTIVE: As one of the most popular and extensively studied paradigms of brain-computer interfaces (BCIs), event-related potential-based BCIs (ERP-BCIs) are usually built and tested in ideal laboratory settings in most existing studies, with subjec...
Workload Pattern Recognition, Automated Brain-Computer Interfaces Task Performance and Analysis Event-Related Potentials, P300 Communication Devices for People with Disabilities Word Processing Sensitivity and Specificity Male Cognition Electroencephalography Reproducibility of Results Young Adult Humans Adult Machine Learning Female
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Incorporating advanced language models into the P300 speller using particle filtering.

Journal of neural engineering Jun 10, 2015
OBJECTIVE: The P300 speller is a common brain-computer interface (BCI) application designed to communicate language by detecting event related potentials in a subject's electroencephalogram signal. Information about the structure of natural language ...
Humans Brain-Computer Interfaces Machine Learning Task Performance and Analysis Algorithms Event-Related Potentials, P300 Computer Simulation Communication Devices for People with Disabilities Natural Language Processing Reproducibility of Results Word Processing Sensitivity and Specificity Electroencephalography Models, Statistical Signal Processing, Computer-Assisted Brain Mapping Pattern Recognition, Automated
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Automated misspelling detection and correction in clinical free-text records.

Journal of biomedical informatics Apr 24, 2015
Accurate electronic health records are important for clinical care and research as well as ensuring patient safety. It is crucial for misspelled words to be corrected in order to ensure that medical records are interpreted correctly. This paper descr...
Vocabulary, Controlled Meaningful Use Word Processing Electronic Health Records Natural Language Processing Data Accuracy Machine Learning Quality Assurance, Health Care
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Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 11, 2015
Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize event-related potential (ERP) for intent detection. Specifically, for EEG-based BCI typing systems, different symbol presentation paradigms have been ut...
Communication Devices for People with Disabilities Word Processing Brain-Computer Interfaces Reproducibility of Results Models, Neurological Evoked Potentials, Visual Humans Adult Task Performance and Analysis Natural Language Processing Machine Learning Sensitivity and Specificity Photic Stimulation Electroencephalography Algorithms Male Pattern Recognition, Automated Language Female
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Word-level language modeling for P300 spellers based on discriminative graphical models.

Journal of neural engineering Feb 16, 2015
OBJECTIVE: In this work we propose a probabilistic graphical model framework that uses language priors at the level of words as a mechanism to increase the performance of P300-based spellers.
Brain-Computer Interfaces Language Humans Task Performance and Analysis Communication Devices for People with Disabilities Electrocardiography Computer Graphics Algorithms Word Processing Models, Statistical Computer Simulation Event-Related Potentials, P300 Natural Language Processing
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