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Preface; Organisation; Programme Committee; Additional Reviewers; Contents; Modelling and Representation; Integrating Association Rules Mined from Health-Care Data with Ontological Information for Automated Knowledge Generation; 1 Introduction; 2 Methods; 2.1 Programming Environment; 2.2 Databases, Ontologies and Pre-processing; 2.3 Association Rule Mining; 2.4 Related Work; 3 Results; 3.1 Ontology Integration; 4 Discussion; 5 Conclusions; References; Sentiment Analysis Model Based on Structure Attention Mechanism; Abstract; 1 Introduction; 2 Related Work
2.1 Sentiment Classification with Traditional Machine Learning Methods2.2 Sentiment Classification with RNN and Attention Mechanism; 3 Structure-Attention-Based LSTM; 4 Experiment; 4.1 Dataset; 4.2 Vector Dimension Selection; 4.3 Results; 4.4 Discussion; 5 Conclusion and Outlook; Acknowledgement; References; Fuzzy Representation for Flexible Requirement Satisfaction; Abstract; 1 Introduction; 2 Background; 2.1 Fuzzy Sets; 2.2 RELAX Requirement Language; 3 Fuzzy for Requirement Satisfaction Representation; 4 Conclusion; References
A Multidisciplinary Method for Constructing and Validating Word Similarity DatasetsAbstract; 1 Introduction; 2 Word Pairs Selection Based on Computational Linguistic Resources; 2.1 Word Length and Frequency; 2.2 Entity Words vs Non-entity Words; 2.3 Data Balance and Word Pairs Classification; 2.4 Word Pairs Selection Result; 3 Scoring by Psychological Scaling; 4 Validation Based on ERPs Experiments; 4.1 A Brief Introduce to ERPs; 4.2 Participants; 4.3 Electroencephalography Recording; 4.4 Experimental Procedure; 4.5 Data Analysis; 4.6 Result 1: Response Time Comparison
4.7 Result 2: Comparison Among Different Similarity Groups4.8 Result 3: Comparison Between the Similarity Group and the Relatedness Group; 5 Conclusion; Acknowledgments; References; Fuzzy Connected-Triple for Predicting Inter-variable Correlation; 1 Introduction; 2 Predicting System; 2.1 Conceptual Framework; 2.2 Connected-Triple Extraction; 2.3 Link Strength Measurement; 2.4 Fuzzy Inference Model; 3 Experimental Evaluation; 3.1 Datasets; 3.2 Implementation of Fuzzy Inference Model; 3.3 Illustrative Example of Link Prediction; 3.4 Experimental Setup; 3.5 Results and Discussion; 4 Conclusion
2.1 Sentiment Classification with Traditional Machine Learning Methods2.2 Sentiment Classification with RNN and Attention Mechanism; 3 Structure-Attention-Based LSTM; 4 Experiment; 4.1 Dataset; 4.2 Vector Dimension Selection; 4.3 Results; 4.4 Discussion; 5 Conclusion and Outlook; Acknowledgement; References; Fuzzy Representation for Flexible Requirement Satisfaction; Abstract; 1 Introduction; 2 Background; 2.1 Fuzzy Sets; 2.2 RELAX Requirement Language; 3 Fuzzy for Requirement Satisfaction Representation; 4 Conclusion; References
A Multidisciplinary Method for Constructing and Validating Word Similarity DatasetsAbstract; 1 Introduction; 2 Word Pairs Selection Based on Computational Linguistic Resources; 2.1 Word Length and Frequency; 2.2 Entity Words vs Non-entity Words; 2.3 Data Balance and Word Pairs Classification; 2.4 Word Pairs Selection Result; 3 Scoring by Psychological Scaling; 4 Validation Based on ERPs Experiments; 4.1 A Brief Introduce to ERPs; 4.2 Participants; 4.3 Electroencephalography Recording; 4.4 Experimental Procedure; 4.5 Data Analysis; 4.6 Result 1: Response Time Comparison
4.7 Result 2: Comparison Among Different Similarity Groups4.8 Result 3: Comparison Between the Similarity Group and the Relatedness Group; 5 Conclusion; Acknowledgments; References; Fuzzy Connected-Triple for Predicting Inter-variable Correlation; 1 Introduction; 2 Predicting System; 2.1 Conceptual Framework; 2.2 Connected-Triple Extraction; 2.3 Link Strength Measurement; 2.4 Fuzzy Inference Model; 3 Experimental Evaluation; 3.1 Datasets; 3.2 Implementation of Fuzzy Inference Model; 3.3 Illustrative Example of Link Prediction; 3.4 Experimental Setup; 3.5 Results and Discussion; 4 Conclusion