AIMC Topic: Linguistics

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Double hierarchy hesitant fuzzy linguistic information based framework for personalized ranking of sustainable suppliers.

Environmental science and pollution research international Apr 29, 2022
With the growing appetite for reducing carbon footprint, organizations are tirelessly working towards green practices and one such crucial practice is purchasing raw materials from sustainable suppliers (SSs). Inspired by the drift in purchase habits...
Decision Making Linguistics Algorithms Fuzzy Logic
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Assessing Schizophrenia Patients Through Linguistic and Acoustic Features Using Deep Learning Techniques.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 18, 2022
Thought, language, and communication disorders are among the salient characteristics of schizophrenia. Such impairments are often exhibited in patients' conversations. Researches have shown that assessments of thought disorder are crucial for trackin...
Humans Schizophrenia Acoustics Deep Learning Speech Linguistics
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The Emotion Probe: On the Universality of Cross-Linguistic and Cross-Gender Speech Emotion Recognition via Machine Learning.

Sensors (Basel, Switzerland) Mar 23, 2022
Machine Learning (ML) algorithms within a human-computer framework are the leading force in speech emotion recognition (SER). However, few studies explore cross-corpora aspects of SER; this work aims to explore the feasibility and characteristics of ...
Bayes Theorem Linguistics Speech Emotions Humans Female Machine Learning Male
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Towards more patient friendly clinical notes through language models and ontologies.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Clinical notes are an efficient way to record patient information but are notoriously hard to decipher for non-experts. Automatically simplifying medical text can empower patients with valuable information about their health, while saving clinicians ...
Natural Language Processing Electronic Health Records Humans Linguistics Language
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Dynamic Invariant-Specific Representation Fusion Network for Multimodal Sentiment Analysis.

Computational intelligence and neuroscience Jan 24, 2022
Multimodal sentiment analysis (MSA) aims to infer emotions from linguistic, auditory, and visual sequences. Multimodal information representation method and fusion technology are keys to MSA. However, the problem of difficulty in fully obtaining hete...
Linguistics Sentiment Analysis
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Intelligent Error Correction of College English Spoken Grammar Based on the GA-MLP-NN Algorithm.

Computational intelligence and neuroscience Dec 22, 2021
With the development of neural networks in deep learning, artificial intelligence machine learning has become the main focus of researchers. In College English grammar detection, oral grammar is the most error rate content. So, this paper optimizes M...
Language Linguistics Artificial Intelligence Algorithms Humans Neural Networks, Computer
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Event parsing and the origins of grammar.

Wiley interdisciplinary reviews. Cognitive science Dec 20, 2021
How did grammar evolve? Perhaps a better way to ask the question is what kind of cognition is needed to enable grammar. The present analysis departs from the observation that linguistic communication is structured in terms of agents and patients, a r...
Linguistics Cognition Semantics Humans Artificial Intelligence Language Animals
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Unsupervised cross-lingual model transfer for named entity recognition with contextualized word representations.

PloS one Sep 21, 2021
Named entity recognition (NER) is one fundamental task in the natural language processing (NLP) community. Supervised neural network models based on contextualized word representations can achieve highly-competitive performance, which requires a larg...
Algorithms Language Humans Neural Networks, Computer Multilingualism Benchmarking Natural Language Processing Linguistics Names Semantics Recognition, Psychology
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English Grammar Detection Based on LSTM-CRF Machine Learning Model.

Computational intelligence and neuroscience Aug 17, 2021
Deep learning and neural network have been widely used in the field of speech, vocabulary, text, pictures, and other information processing fields, which has achieved excellent research results. Neural network algorithm and prediction model were used...
Neural Networks, Computer Language Machine Learning Linguistics
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A novel approach for the analysis of time-course gene expression data based on computing with words.

Journal of biomedical informatics Jul 14, 2021
In this paper, a novel approach is proposed for the analysis of time-course gene expression data based on the path-breaking work of Zadeh, Computing with Words. This method can automatically discover the patterns of temporal gene expression profile i...
Data Mining Linguistics Gene Expression Humans Algorithms Gene Expression Profiling Fuzzy Logic
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