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for logical foundations, a new linguistic layer representing the intermediate steps between natural language texts and formal proof documents, and the automatisation tools for the efficient construction
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, Ontology engineering, Computational geoscience, or a related field; a strong interest in conceptual modeling, semantic modelling, ontology engineering, formal logics or cognitive modelling, and some
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; develop a hybrid question parsing pipeline using NLP and formal semantic representations; investigate Large Language Models (LLMs) as well as symbolic AI for question parsing; evaluate models based on a
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for adapting large language models to tasks mixing text and structured data, such as statistical report generation and semantic search across historical statistics publications. Successful PhD candidates will
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, or willingness to work with them Experience with multi-modal machine learning methods Familiarity with formal linguistics, particularly formal semantics and pragmatics We encourage applications from individuals