The Document Analysis and Research Environment (DARE) Team has developed an innovative Corpus-Based Approach (CBA) to Natural Language Processing (NLP) technology. Using CBA, the team build a suite of technologies for automatic processing and analysis of textual information to help human analysts perform more efficiently and enhance sense-making.

The team has since advanced beyond NLP research into embedding the technology into a Large Integrated Search and Analysis (LISA) system. LISA, jointly developed with the Arlington Institute in the United States, was conceptualised to support analysts in the systematic collection, organisation and analysis of unstructured texts.

The team successfully customised LISA and the DSO NLP to intelligence applications and bio-medical surveillance. The DSO NLP was also used in the Risk Assessment and Horizon Scanning (RAHS) System to help analysts process unstructured textual information for strategic early warning to national security threats.

For their achievements in defining new NLP capabilities that have enhanced operational effectiveness, the DARE Team is awarded the DTP2007 Team (R&D) Award.