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.