Theoretical Framework of Open Virtual Worlds for Professional Development

This paper discusses an attempt for formalization of the decision making process, evaluation and scaling of the components and parameters of Lifelong learning systems and services. Fuzzy logic techniques are used for the formal method representation. The parameterization and rules generation are based on preliminary research of the golden standards and surveys among the users and professionals in the field. The especially designed and implemented system is used for experiments

Extracting Patient-Related Description from Medical Records in Bulgarian

This paper deals with the extraction of medical information from hospital patient records. It proposes a cascade approach for the extraction of multi-layer knowledge statements because the subject is too complex. We sketch the Information Extraction view to text analysis, where patient-related facts are recognised using predefined regular expressions and templates. A laboratory prototype for patient status ex- traction is presented together with the first evaluation results

European language equality

This deep dive on data, knowledge graphs (KGs) and language resources (LRs) is the final of the four technology deep dives, as data as well as related models are the basis for technologies and solutions in the area of Language Technology (LT) for European digital language equality (DLE). This chapter focuses on the data and LRs required to achieve full DLE in Europe by 2030. The main components identified – data, KGs, LRs – are explained, and used to analyse the state-of-the-art as well as identify gaps. All of these components need to be tackled in the future, for the widest range of languages possible, from official EU languages to dialects to non- EU languages used in Europe. For all these languages, efficient data collection and sustainable data provision to be facilitated with fair conditions and costs. Specific technologies, methodologies and tools have been identified to enable the implementation of the vision of DLE by 2030. In addition, data-related business models and data-governance models are discussed, as they are considered a prerequisite for a working data economy that stimulates a vibrant LT landscape that can bring about European DLE.peer-reviewe

Overview of ILP Systems

The current paper presents a brief overview of Inductive logic programming (ILP) systems. ILP algorithms are of special interest for machine learning, because most of them offer practical methods for extending the presentations used in algorithms that solve supervised learning tasks. The paper presents major approaches for solving supervised learning task, summarizes their features and classifies systems according different dimension

Focusing on Scenario Recognition in Information Extraction

This paper reports a research effort in Information Extraction, especially in template pattern matching. Our approach uses reach domain knowledge in the football (soccer) area and logical form representation for necessary inferences of facts and templates filling. Our system FRET (Football Reports Extraction Templates) is compatible to the language-engineering environment GATE and handles its internal representations and some intermediate analysis results

Towards the assessment of free learner's utterances in CALL

Computer-Aided Language Learning (CALL) should play an important role in the modern training process because it provides easy accessible, adaptive and flexible ways of learning. This paper addresses the scenario of tutor-learner question answering and attempts to automate the free answers evaluation using the advantages of Natural Language Processing (NLP). Our current approach integrates shallow parsing for analysing the answers and allows the learners to enter various utterances to express themselves. However this variety does not impede the assessment of the student’s answer as we check the utterances against th

Development of Adaptive e-Learning System Based on Learning Objects

This paper discusses Adaptive Educational Hypermedia (AEH), which is at present a hot topic of research and an important aim for e-Learning systems. The presented approach is knowledgebased. The domain ontology and the learning objects play a central role as resources structuring the learning content and supporting flexible adaptive strategies for navigation through this content