Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence
In: Proceedings of the LREC-2008 Workshop Towards Enhanced Interoperability for Large HLT Systems: UIMA for NLP, 6th International Conference on Language Resources and Evaluation. International Conference on Language Resources and Evaluation (LREC), located at LREC-2008, May 26 - June 1, Marrakesh, Morocco, Pages 43-50, ELRA, 2008.
Heart of Gold is a lightweight, XML-based middleware architecture that has been developed for this purpose. It supports hybrid, i.e. combined shallow and deep processing workflows of multiple NLP components to increase robustness and exploit synergy, and linguistic resources for multiple languages. The notion of explicit transformation between component input and output enables flexible interaction of existing NLP components. Heart of Gold foresees both tightly (same process) and loosely coupled (via networked services) processing modes. Assuming familarity with UIMA, we introduce Heart of Gold and propose and discuss hybrid integration scenarios in the context of UIMA. Possible applications include precision-oriented question answering, deep information extraction and opinion mining, textual entailment checking and machine translation.