In information extraction (IE), the work carried out focuses on the use of automatic learning techniques to overcome the main drawbacks of the application of IE and its inherent dependence on a domain by reducing the need for supervision. Specifically, work is being carried out to design pattern acquisition methods for IE in restricted and unrestricted domains (whether structured or unstructured texts), document clustering techniques (so the unsupervised learning of IE patterns in open domains may require this preliminary step) and robust methods for the extraction of information in different media (both texts and transcriptions of the spoken word).