AIMC Topic: Vocabulary

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Empowering entity synonym set generation using flexible perceptual field and multi-layer contextual information.

PloS one Apr 21, 2025
Automatic generation of entity synonyms plays a pivotal role in various natural language processing applications, such as search engines, question-answering systems, and taxonomy construction. Previous research on generating entity synonym sets has t...
Neural Networks, Computer Algorithms Natural Language Processing Datasets as Topic Vocabulary
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Artificial Intelligence and Environmental Impact: Moving Beyond Humanizing Vocabulary and Anthropocentrism.

Omics : a journal of integrative biology Dec 17, 2024
Artificial intelligence (AI) and its applications in digital health, bioengineering, and society have significant material impacts on the environment owing to AI's vast energy demands and energy consumption, carbon footprints, and water usage to cool...
Humans Artificial Intelligence Vocabulary Environment
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: An AI-Based Application to Enable Just-in-Time Generation of Topic-Specific Displays for Persons Who Are Minimally Speaking.

International journal of environmental research and public health Aug 29, 2024
As artificial intelligence (AI) makes significant headway in various arenas, the field of speech-language pathology is at the precipice of experiencing a transformative shift towards automation. This study introduces , an AI-driven application design...
Humans Artificial Intelligence Algorithms Speech-Language Pathology Vocabulary
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Evolving a Pipeline Approach for Abstract Meaning Representation Parsing Towards Dynamic Neural Networks.

International journal of neural systems Jun 17, 2023
Meaning Representation parsing aims to represent a sentence as a structured, Directed, Acyclic Graph (DAG), in an attempt to extract meaning from text. This paper extends an existing 2-stage pipeline AMR parser with state-of-the-art techniques in dep...
Neural Networks, Computer Software Language Vocabulary Adaptation, Physiological
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Features of a FAIR vocabulary.

Journal of biomedical semantics Jun 1, 2023
BACKGROUND: The Findable, Accessible, Interoperable and Reusable(FAIR) Principles explicitly require the use of FAIR vocabularies, but what precisely constitutes a FAIR vocabulary remains unclear. Being able to define FAIR vocabularies, identify feat...
Biological Ontologies Vocabulary, Controlled Vocabulary
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Thai Word Segmentation with a Brain-Inspired Sparse Distributed Representations Learning Memory.

Computational intelligence and neuroscience May 29, 2023
Word segmentation is necessary for many natural language processing, especially Thai language, that is, unsegmented words. However, wrong segmentation causes terrible performance in the final result. In this study, we propose two new brain-inspired m...
Language Natural Language Processing Vocabulary
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Deep Learning-Based Correlation Analysis between the Evaluation Score of English Teaching Quality and the Knowledge Points.

Computational intelligence and neuroscience Aug 25, 2022
As one of the three main courses from primary school to senior high school, improving the quality of English teaching in and out of class has become the top priority of colleges and universities. English knowledge points are complex, and domestic sch...
Humans Deep Learning Vocabulary Knowledge Linguistics Reading
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Deep Learning Models for Fast Retrieval and Extraction of French Speech Vocabulary Applications.

Computational intelligence and neuroscience Jul 8, 2022
Due to the large French vocabulary, how quickly retrieve and accurately identify the required vocabulary is still a big challenge in French learning. In view of the above problems, we introduce a deep learning algorithm in this study to upgrade and o...
Language Deep Learning Speech Vocabulary Speech Perception
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Few-Shot Text Classification with Global-Local Feature Information.

Sensors (Basel, Switzerland) Jun 11, 2022
Meta-learning frameworks have been proposed to generalize machine learning models for domain adaptation without sufficient label data in computer vision. However, text classification with meta-learning is less investigated. In this paper, we propose ...
Machine Learning Algorithms Vocabulary
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Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records.

Journal of neurodevelopmental disorders May 23, 2022
BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by restricted, repetitive behavior, and impaired social communication and interactions. However, significant challenges remain in diagnosing and subtyp...
Humans Phenotype Autism Spectrum Disorder Electronic Health Records Natural Language Processing Vocabulary
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