Near Misses Examples
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Fundamental Approaches to Software Engineering
This book constitutes the proceedings of the 20th International Conference on Fundamental Approaches to Software Engineering, FASE 2017, which took place in Uppsala, Sweden in April 2017, held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2017. The 23 papers presented in this volume were carefully reviewed and selected from 91 submissions. They were organized in topical sections named: learning and inference; test selection; program and system analysis; graph modeling and transformation; model transformations; configuration and synthesis; and software product lines.
Generating Natural Language Descriptions With Integrated Text and Examples
This book discusses issues in generating coherent, effective natural language descriptions with integrated text and examples. This is done in the context of a system for generating documentation dynamically from the underlying software representations. Good documentation is critical for user acceptance of any complex system. Advances in areas such as knowledge-based systems, natural language, and multimedia generation now make it possible to investigate the automatic generation of documentation from the underlying knowledge bases. This has several important benefits: it is always accessible; it is always current, because the documentation reflects the underlying representation; and, it can take the communication context, such as the user, into account. The work described in this book compiles results from cognitive psychology and education on effective presentation of examples, as well as work on computational generation of examples from intelligent tutoring systems. It also takes into account computational learning from examples, and a characterization of good examples for just this purpose. Issues arising from these research areas--as well as issues coming from the author's own corpus analysis of instructional and explanatory texts--are discussed in the context of generating natural language descriptions of software constructs. A text planner is used for a hierarchy of communicative goals. Examples are treated as an integral part of the planning process and their interaction with text is represented at all stages. The strengths and limitations of this approach are also discussed. Although the focus of this book is the generation of natural language descriptions, a similar set of issues need to be addressed in the generation of multimedia descriptions. This book will be of interest to all researchers working in the areas of natural language interfaces, intelligent tutoring systems, documentation and technical writing, and educational psychology.
Intelligent Data Engineering and Automated Learning – IDEAL 2024
This two-volume set, LNCS 15346 and LNCS 15347, constitutes the proceedings of the 25th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2024, held in Valencia, Spain, during November 20–22, 2024. The 86 full papers and 6 short papers presented in this book were carefully reviewed and selected from 130 submissions. IDEAL 2024 is focusing on Big Data Analytics and Privacy, Machine Learning & Deep Learning for Real-World Applications, Data Mining and Pattern Recognition, Information Retrieval and Management, Bio and Neuro-Informatics, and Hybrid Intelligent Systems and Agents.