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The Application of 5G and Artificial Intelligence Technology in the Innovation and Reform of College English Education.

Computational intelligence and neuroscience
Artificial intelligence and Fifth-Generation (5G) communication networks are examples of new information technologies that have aided and facilitated educational reform and progress. Built on the convincing requirements of college English education, ...

Recognition of Unknown Entities in Specific Financial Field Based on ERNIE-Doc-BiLSTM-CRF.

Computational intelligence and neuroscience
The Internet is rich in information related to the financial field. The financial entity information text containing new internet vocabulary has a certain impact on the results of existing recognition algorithms. How to solve the problems of new voca...

Construction of Knowledge Graph English Online Homework Evaluation System Based on Multimodal Neural Network Feature Extraction.

Computational intelligence and neuroscience
This paper defines the data schema of the multimodal knowledge graph, that is, the definition of entity types and relationships between entities. The knowledge point entities are defined as three types of structures, algorithms, and related terms, sp...

Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis.

Sensors (Basel, Switzerland)
Sentiment analysis was nominated as a hot research topic a decade ago for its increasing importance in analyzing the people's opinions extracted from social media platforms. Although the Arabic language has a significant share of the content shared a...

Automatic Speech Recognition Method Based on Deep Learning Approaches for Uzbek Language.

Sensors (Basel, Switzerland)
Communication has been an important aspect of human life, civilization, and globalization for thousands of years. Biometric analysis, education, security, healthcare, and smart cities are only a few examples of speech recognition applications. Most s...

End-to-End Sentence-Level Multi-View Lipreading Architecture with Spatial Attention Module Integrated Multiple CNNs and Cascaded Local Self-Attention-CTC.

Sensors (Basel, Switzerland)
Concomitant with the recent advances in deep learning, automatic speech recognition and visual speech recognition (VSR) have received considerable attention. However, although VSR systems must identify speech from both frontal and profile faces in re...

SG-Net: Syntax Guided Transformer for Language Representation.

IEEE transactions on pattern analysis and machine intelligence
Understanding human language is one of the key themes of artificial intelligence. For language representation, the capacity of effectively modeling the linguistic knowledge from the detail-riddled and lengthy texts and getting ride of the noises is e...

An Improved BERT and Syntactic Dependency Representation Model for Sentiment Analysis.

Computational intelligence and neuroscience
Text representation of social media is an important task for users' sentiment analysis. Utilizing the better representation, we can accurately acquire the real semantic information expressed by online users. However, existing works cannot achieve the...

Research on Feature Extraction and Chinese Translation Method of Internet-of-Things English Terminology.

Computational intelligence and neuroscience
Feature extraction and Chinese translation of Internet-of-Things English terms are the basis of many natural language processing. Its main purpose is to extract rich semantic information from unstructured texts to allow computers to further calculate...

An Entity Relationship Extraction Model Based on BERT-BLSTM-CRF for Food Safety Domain.

Computational intelligence and neuroscience
Dealing with food safety issues in time through online public opinion incidents can reduce the impact of incidents and protect human health effectively. Therefore, by the smart technology of extracting the entity relationship of public opinion events...