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Hybrid
Deep and Shallow Methods for Knowledge-Intensive Information Extraction The
pioneering research performed in the research project DeepThought
aims
at demonstrating the potential of deep linguistic processing if
combined with
shallow methods for robustness. Classical information retrieval will be
extended by high precision concept indexing and relation detection. On
the
basis of this novel approach the feasibility of three ambitious
applications are
demonstrated, namely: precise information extraction for business
intelligence;
email response management for customer relationship management;
creativity
support for document production and collective brainstorming. As a
result, a
technology roadmap was developed for a new generation of
knowledge-intensive
applications.
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