Artificial Intelligence: Methodology, Systems, and Applications: 18th International Conference

Artificial Intelligence: Methodology, Systems, and Applications: 18th International Conference, AIMSA 2018, Varna, Bulgaria, September 12–14, 2018, Proceedings (Lecture Notes in Computer Science)

This book constitutes the refereed proceedings of the 18th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2018, held in Varna, Bulgaria, in September 2018.

The 22 revised full papers and 7 poster papers presented were carefully reviewed and selected from 72 submissions. They cover a wide range of topics in AI: from machine learning to natural language systems, from information extraction to text mining, from knowledge representation to soft computing; from theoretical issues to real-world applications.

Table of Contents

Chapter 1. A New Approach to the Supervised Word Sense Disambiguation
Chapter 2. Explorations in Sentiment Mining for Arabic and English Tweets
Chapter 3. Intent Detection System Based on Word Embeddings
Chapter 4. Indirect Association Rules Mining in Clinical Texts
Chapter 5. Towards Automated Customer Support
Chapter 6. Evaluation of Automatic Tag Sense Disambiguation Using the MIRFLICKR Image Collection
Chapter 7. Echo State Network for Word Sense Disambiguation
Chapter 8. Constrained Permutations for Computing Textual Similarity
Chapter 9. A Study on Dialog Act Recognition Using Character-Level Tokenization
Chapter 10. Neural Methods for Cross-Lingual Sentence Compression
Chapter 11. Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts
Chapter 12. Recursive Style Breach Detection with Multifaceted Ensemble Learning
Chapter 13. Improving Machine Learning Prediction Performance for Premature Termination of Psychotherapy
Chapter 14. Exploring the Usability of the Dice CAPTCHA by Advanced Statistical Analysis
Chapter 15. Time Series Analysis for Sales Prediction
Chapter 16. Machine Learning-Driven Noise Separation in High Variation Genomics Sequencing Datasets
Chapter 17. Machine Learning Techniques for Survival Time Prediction in Breast Cancer
Chapter 18. Tractable Classes in Exactly-One-SAT
Chapter 19. Semantic Meta-search Using Cohesion Network Analysis
Chapter 20. A Query Language for Cognitive Maps
Chapter 21. Approaches for Enumerating All the Essential Prime Implicants
Chapter 22. Evolving a Team of Asymmetric Predator Agents That Do Not Compute in Predator-Prey Pursuit Problem
Chapter 23. Semantic Graph Based Automatic Summarization of Multiple Related Work Sections of Scientific Articles
Chapter 24. Collective Lévy Walk for Efficient Exploration in Unknown Environments
Chapter 25. A BLAST-Based Algorithm to Find Evenly Distributed Unique Subsequences
Chapter 26. Implementation of Multilayer Perceptron in Graphics Processing Unit
Chapter 27. Semantic Annotation Modelling for Protein Functions Prediction
Chapter 28. ReadME – Enhancing Automated Writing Evaluation
Chapter 29. Feature Selection Based on Logistic Regression for 2-Class Classification of Multidimensional Molecular Data