The DeepThought Core Architecture Framework

作者: Ulrich Callmeier , Andreas Eisele , Melanie Siegel , Ulrich Schäfer

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摘要: The research performed in the DeepThought project aims at demonstrating potential of deep linguistic processing if combined with shallow methods for robustness. Classical information retrieval is extended by high precision concept indexing and relation detection. On basis this approach, feasibility three ambitious applications will be demonstrated, namely: precise extraction business intelligence; email response management customer relationship management; creativity support document production collective brainstorming. Common to these applications, their development XMLbased, RMRS-enabled core architecture framework that described detail paper. not limited envisaged project, but can also employed e.g. generate make use XML standoff annotation documents corpora, general a wide range NLP-based purposes.

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