Rainer Osswald

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We describe how a feature-based semantic lexicon can be automatically extended using large, unstructured text corpora. Experiments are carried out using the lexicon HaGenLex and the Wortschatz corpus. The semantic classes of nouns are determined via the adjectives that modify them. It turns out to be reasonable to combine several classifiers for single(More)
We present a flexible approach for extracting hierarchical classifications from linguistic data. To this end, the framework of observational logic is introduced, which extends the logic that underlies standard Formal Concept Analysis by allowing disjunctive rules and exclusions. We give a rigorous mathematical characterization of how the chosen rule type(More)
The proper interpretation of prepositions is an important issue for automatic natural language understanding. We present an approach towards PP interpretation as part of a natural language understanding system which has been successfully employed in various NLP tasks for information retrieval and question answering. Our approach is based on the so-called(More)
The use of simple and easy to understand language is an essential requirement for web documents to be accessible by people with cognitive or reading disabilities. We present an architecture that scores the readability of textual content automatically and also provides hints about possible obstacles to readability in the given text. Our approach is based on(More)