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Natural Language Processing Pretraining Language Model for Computer Intelligent Recognition Technology

https://doi.org/10.1145/3605210
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00287-018-1094-1openalex-snapshot
Natural Language Processing for Industry
inferredcites →https://doi.org/10.1007/s11431-020-1647-3openalex-snapshot
Pre-trained models for natural language processing: A survey
inferredcites →https://doi.org/10.1007/s11633-022-1331-6openalex-snapshot
Paradigm Shift in Natural Language Processing
inferredcites →https://doi.org/10.1016/j.jksuci.2019.02.006openalex-snapshot
Arabic natural language processing: An overview
inferredcites →https://doi.org/10.1016/j.nic.2020.08.001openalex-snapshot
Review of Natural Language Processing in Radiology
inferredcites →https://doi.org/10.1017/s1368980018000708openalex-snapshot
Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment
inferredcites →https://doi.org/10.1080/23270012.2020.1756939openalex-snapshot
Natural language processing (NLP) in management research: A literature review
inferredcites →https://doi.org/10.1093/jamia/ocz200openalex-snapshot
Deep learning in clinical natural language processing: a methodical review
inferredcites →https://doi.org/10.1093/nsr/nwx110openalex-snapshot
Deep learning for natural language processing: advantages and challenges
inferredcites →https://doi.org/10.1109/ijcnn55064.2022.9891938openalex-snapshot
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery
inferredcites →https://doi.org/10.1109/ijcnn55064.2022.9892238openalex-snapshot
Dense Embeddings Preserving the Semantic Relationships in WordNet
inferredcites →https://doi.org/10.1142/s021800141854023xopenalex-snapshot
Analysis of Feature Fatigue EEG Signals Based on Wavelet Entropy
inferredcites →https://doi.org/10.1142/s0218001419590158openalex-snapshot
Research on Application of Artificial Intelligence in Computer Network Technology
inferredcites →https://doi.org/10.1145/3458754openalex-snapshot
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
inferredcites →https://doi.org/10.1145/3529755openalex-snapshot
On the Explainability of Natural Language Processing Deep Models
inferredcites →https://doi.org/10.1561/2200000096openalex-snapshot
Graph Neural Networks for Natural Language Processing: A Survey
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.182openalex-snapshot
GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction
inferredcites →https://doi.org/10.48161/qaj.v1n2a40openalex-snapshot
State of Art for Semantic Analysis of Natural Language Processing
inferredcites →https://doi.org/10.7717/peerj-cs.984openalex-snapshot
Formulaic language identification model based on GCN fusing associated information

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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