| Description |
1 online resource (508 p.) |
| Series |
Communications in Computer and Information Science ; 2058 |
|
Communications in computer and information science ; 2058.
|
| Contents |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Contents - Part III -- Machine Printed Page Number Anomaly Detection Method Based on Multi-scale Self Attention Encoding Decoding -- 1 Introduction -- 2 Overall Design for Anomaly Detection -- 2.1 Data Acquisition -- 2.2 Anomaly Detection Section -- 3 Anomaly Detection Algorithm for Machine-Printed Page Numbers -- 3.1 Introduction and Analysis of the Original Autoencoder Structure -- 3.2 Improved Multi-scale Self-attention Encoding-Decoding Anomaly Detection Model -- 3.3 Anomaly Detection Layer |
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4 Experimental Results and Analysis -- 4.1 Dataset and Anomaly Introduction -- 4.2 Experimental Strategy and Environment -- 4.3 Training Loss Function Convergence Curve -- 4.4 Ablation Study -- 4.5 Comparative Experiments -- 4.6 Experimental Results Presentation -- 5 Conclusion -- References -- A Novel MEC Framework for Extractive Summarization Using Semantic Role Graph and Semantic Matching -- 1 Introduction -- 1.1 Motivation -- 1.2 Contribution -- 2 Preliminary -- 3 MEC Framework for Extractive Summarization -- 3.1 SRL Parsing -- 3.2 Semantic Role Graph Generation |
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3.3 Candidate Summary Generation -- 3.4 Semantic Matching: Summary Scoring -- 4 Experiments -- 4.1 Datasets and Evaluation Metrics -- 4.2 Baselines -- 4.3 Experimental Setup -- 4.4 Results -- 5 Related Work -- 6 Conclusion -- References -- A Paper Citation Link Prediction Method Using Graph Attention Network -- 1 Introduction -- 2 Related Work -- 3 Paper Citation Link Prediction Method Using Graph Attention Network -- 3.1 Paper Citation Link Prediction Framework -- 3.2 Paper Citation Link Prediction Method -- 3.3 Algorithm Implementation -- 4 Experiment and Result Analysis |
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4.1 Experimental Data Sets -- 4.2 Experimental Parameter Settings -- 4.3 Evaluating Indicators -- 4.4 Experimental Results -- 5 Conclusion -- References -- Research on Emotional Analysis of Tibetan Short Text Based on Fusion Sentiment Lexicon -- 1 Introduction -- 2 Pre-Processing -- 2.1 Text Slicing -- 2.2 Pre-Training -- 3 A Sentiment Analysis Model for Short Tibetan Texts Incorporating Sentiment Lexicon -- 3.1 Embedding Layer -- 3.2 Encoding Layer -- 3.3 Inference Layer -- 4 Experimental -- 4.1 Experimental Data and Parameters -- 4.2 Experimental Setup -- 4.3 Analysis of Experimental Results |
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5 Conclusion -- References -- A Review of Solving Non-IID Data in Federated Learning: Current Status and Future Directions -- 1 Introduction -- 2 Background -- 2.1 Overview of Federated Learning -- 2.2 Overview of Non-IID Data -- 2.3 Challenges Posed by Non-IID Data in FL -- 3 Main Solutions to the Problems of Non-IID Data in FL -- 3.1 Data-Based -- 3.2 Process-Based -- 4 Trends and Future Directions -- 4.1 Privacy Protection -- 4.2 Communication Costs -- 4.3 Personalized Federated Learning -- 5 Summary -- References -- A Review of Relationship Extraction Based on Deep Learning -- 1 Introduction |
| Summary |
This 3-volume set, CCIS 2058-2060 constitutes the First International Conference, on Artificial Intelligence, IAIC 2023, held in Nanjing, China, in November 2023. The 85 full papers presented were carefully reviewed and selected from 428 submissions. The papers are clustered in parts on: Artificial Intelligence and Machine Learning; Data Security and information Security; Computer Networks and IoT. The papers present recent research and developments in artificial intelligence and its applications in machine learning, natural language processing, computer vision, robotics, and ethical considerations |
| Notes |
2 Relation Extraction Methods Based on Deep Learning |
|
Online resource; title from PDF title page (SpringerLink, viewed April 16, 2024) |
| Subject |
Artificial intelligence -- Congresses
|
| Form |
Electronic book
|
| Author |
Jin, Hai
|
|
Pan, Yi
|
|
Lu, JianFeng
|
| ISBN |
9789819712779 |
|
9819712777 |
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