Knowledge Science, Engineering and Management

Table of Contents

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   Book Overview
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   Chapter 1 Improved Text-Independent Speaker Identification and Verification with Gaussian Mixture Models
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   Chapter 2 TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTM
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   Chapter 3 Application of Probabilistic Process Model for Smart Factory Systems
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   Chapter 4 A Distributed Topic Model for Large-Scale Streaming Text
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   Chapter 5 AutoSimP : An Approach for Predicting Proteins’ Structural Similarities Using an Ensemble of Deep Autoencoders
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   Chapter 6 Overview of Generation Methods for Business Process Models
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   Chapter 7 Dynamic Task-Specific Factors for Meta-Embedding
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   Chapter 8 Automated Mining and Checking of Formal Properties in Natural Language Requirements
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    Chapter 9 A Shallow Semantic Parsing Framework for Event Argument Extraction
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    Chapter 10 Training-Less Multi-label Text Classification Using Knowledge Bases and Word Embeddings
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    Chapter 11 Text-Based Fusion Neural Network for Rumor Detection
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    Chapter 12 Text to Image Synthesis Using Two-Stage Generation and Two-Stage Discrimination
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    Chapter 13 Word Embeddings for Unsupervised Named Entity Linking
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    Chapter 14 Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint
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    Chapter 15 A New Method for Complex Triplet Extraction of Biomedical Texts
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    Chapter 16 Assessing Semantic Similarity Between Concepts Using Wikipedia Based on Nonlinear Fitting
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    Chapter 17 A Two-Stage Model Based on BERT for Short Fake News Detection
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    Chapter 18 Research on Resultative/Directional Structures Based on the Corpus of International Chinese Textbooks
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    Chapter 19 An Automatic Spelling Correction Method for Classical Mongolian
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    Chapter 20 Unsupervised Cross-Lingual Sentence Representation Learning via Linguistic Isomorphism
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    Chapter 21 Practical Scheme for Secure Outsourcing of Coppersmith’s Algorithm
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    Chapter 22 A Novel Genetic Algorithm Approach to Improving Error Correction Output Coding
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    Chapter 23 A New Monarch Butterfly Optimization Algorithm with SA Strategy
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    Chapter 24 Reasoning of Causal Direction in Linear Model Based on Spearman’s Rank Correlation Coefficient
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    Chapter 25 Urban Traffic Flow Prediction Using a Gradient-Boosted Method Considering Dynamic Spatio-Temporal Correlations
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    Chapter 26 A Trust Network Model Based on Hesitant Fuzzy Linguistic Term Sets
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    Chapter 27 An Improved Discretization-Based Feature Selection via Particle Swarm Optimization
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    Chapter 28 Feature-Aware Attentive Convolutional Neural Network for Sequence Processing
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    Chapter 29 Exploiting Tri-types of Information for Attributed Network Embedding
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    Chapter 30 Answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation
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    Chapter 31 Syntax-Aware Sentence Matching with Graph Convolutional Networks
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    Chapter 32 Music Genre Classification via Sequential Wavelet Scattering Feature Learning
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    Chapter 33 Efficient Network Representations Learning: An Edge-Centric Perspective
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    Chapter 34 Representation Learning in Academic Network Based on Research Interest and Meta-path
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    Chapter 35 Knowledge-Aware Self-Attention Networks for Document Grounded Dialogue Generation
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    Chapter 36 A Multi-View Spatial-Temporal Network for Vehicle Refueling Demand Inference