- System for Large Scale Information Extraction (LaSIE)
- Parameterizable Domain-Adaptive Information and Message Extraction (PARADIME)
- Finite-State Automa-based Text Understanding System (Fastus)
- Genome Information Extraction (GenIE)
The goal of information extraction (IE) is to build systems that find and link relevant information from natural language text ignoring irrelevant information. The information of interest is typically pre-specified in form of uninstantiated frame-like structures also called templates. The templates are domain and task specific. The major task of an IE-system is then the identification of the relevant parts of the text which are used to fill a template's slots.