A natural language text understanding system with advanced learning capabilities is presented. New concepts are acquired on the fly by incorporating two kinds of evidence - knowledge about linguistic constructions in ...
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The automatic analysis of medical full-texts currently suffers from neglecting text coherence phenomena such as reference relations between discourse units. This has unwarranted effects on the description adequacy of ...
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We provide a model of concept drift by which concept classes are automatically updated according to the dynamics of change in the underlying learning environment. Instances with a well-defined degree of feature simila...
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We introduce a knowledge-based approach to deep knowledge discovery from real-world natural language texts. Data mining, data interpretation, and data cleaning are all incorporated in cycles of quality-based terminolo...
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We propose a methodology for enhancing domain knowledge bases through natural language text understanding. The acquisition of previously unknown concepts is based on the assessment of the "quality" of lingui...
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We introduce a qualitative model of uncertain reasoning and illustrate its application in the framework of a natural language understanding task. Considering uncertain reasoning as a preferential choice problem betwee...
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