PRICAI 2023: Trends in Artificial Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 A Spatial Interpolation Method Based on BP Neural Network with Bellman Equation
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   Chapter 2 Attention Auxiliary Supervision for Continuous Sign Language Recognition
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   Chapter 3 AutoShape: Automatic Design of Click-Through Rate Prediction Models Using Shapley Value
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   Chapter 4 Byzantine-Robust Federated Learning via Server-Side Mixtue of Experts
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   Chapter 5 CDAN: Cost Dependent Deep Abstention Network
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   Chapter 6 Learning and Regression on the Grassmannian
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   Chapter 7 Partial Multi-label Learning with a Few Accurately Labeled Data
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   Chapter 8 Shareable and Inheritable Incremental Compilation in iOOBN
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    Chapter 9 A Dynamic Pricing Strategy in Divided Regions for Ride-Hailing
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    Chapter 10 CANAMRF: An Attention-Based Model for Multimodal Depression Detection
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    Chapter 11 CASSOR: Class-Aware Sample Selection for Ordinal Regression with Noisy Labels
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    Chapter 12 Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels
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    Chapter 13 A Joint Framework with Audio Generation for Rare Gunshot Event Detection
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    Chapter 14 Ancient Chinese Machine Reading Comprehension Exception Question Dataset with a Non-trivial Model
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    Chapter 15 Chinese Macro Discourse Parsing on Generative Fusion and Distant Supervision
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    Chapter 16 GHGA-Net: Global Heterogeneous Graph Attention Network for Chinese Short Text Classification
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    Chapter 17 KSRE-CNER: A Knowledge and Semantic Relation Enhancement Framework for Chinese NER
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    Chapter 18 Low-Frequency Aware Unsupervised Detection of Dark Jargon Phrases on Social Platforms
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    Chapter 19 Multilayer Vision and Language Augmented Transformer for Image Captioning
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    Chapter 20 Neural Machine Translation with an Awareness of Semantic Similarity
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    Chapter 21 Optimizing Answer Representation Using Metric Learning for Efficient Short Answer Scoring
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    Chapter 22 Prompting Generative Language Model with Guiding Augmentation for Aspect Sentiment Triplet Extraction
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    Chapter 23 Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval
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    Chapter 24 QURG: Question Rewriting Guided Context-Dependent Text-to-SQL Semantic Parsing
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    Chapter 25 Sarcasm Relation to Time: Sarcasm Detection with Temporal Features and Deep Learning
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    Chapter 26 Self-agreement: A Framework for Fine-Tuning Language Models to Find Agreement Among Diverse Opinions
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    Chapter 27 Self-SLP: Community Detection Algorithm in Dynamic Networks Based on Self-paced and Spreading Label Propagation
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    Chapter 28 Word Segmentation of Hiragana Sentences Using Hiragana BERT
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    Chapter 29 An Empirical Study on Context Length for Open-Domain Dialog Generation
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    Chapter 30 COVER: A Heuristic Greedy Adversarial Attack on Prompt-Based Learning in Language Models
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    Chapter 31 Few-Shot Table-to-Text Generation with Structural Bias Attention
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    Chapter 32 Generalized Knowledge Distillation for Topic Models
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    Chapter 33 Improving Speaker Recognition by Time-Frequency Domain Feature Enhanced Method
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    Chapter 34 Leveraging Dual Encoder Models for Complex Question Answering over Knowledge Bases
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    Chapter 35 Unsupervised Contrastive Learning of Sentence Embeddings Through Optimized Sample Construction and Knowledge Distillation
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    Chapter 36 Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction
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    Chapter 38 Investigating the Existence of Holey Latin Squares via Satisfiability Testing
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    Chapter 39 Leiden Fitness-Based Genetic Algorithm with Niching for Community Detection in Large Social Networks
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    Chapter 40 Non-revisiting Stochastic Search for Automatic Graph Learning
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    Chapter 41 Detecting AI Planning Modelling Mistakes – Potential Errors and Benchmark Domains
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    Chapter 42 Decision Tree Clustering for Time Series Data: An Approach for Enhanced Interpretability and Efficiency
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    Chapter 43 The Ethical Evaluation Method of Algorithmic Behavior Based on Computational Experiments
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    Chapter 44 Metrics for Evaluating Actionability in Explainable AI