Title |
Technical Terminology as a Critical Resource |
Authors |
James Dowdall (University of Zurich, Institute of Computational Linguistics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland) Michael Hess (University of Zurich, Institute of Computational Linguistics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland) Neeme Kahusk (Research Group of Computational Linguistics, University of Tartu J. Liivi 2, 50409 Tartu, Estonia) Kaarel Kaljurand (Research Group of Computational Linguistics, University of Tartu J. Liivi 2, 50409 Tartu, Estonia) Mare Koit (Research Group of Computational Linguistics, University of Tartu J. Liivi 2, 50409 Tartu, Estonia) Fabio Rinaldi (University of Zurich, Institute of Computational Linguistics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland) Kadri Vider (Research Group of Computational Linguistics, University of Tartu J. Liivi 2, 50409 Tartu, Estonia) |
Session |
Session TP1: Terminology |
Abstract |
Technical documentation is riddled with domain specific terminology which needs to be detected and properly organized in order to be meaningfully used. In this paper we describe how we coped with the problem of terminology detection for a specific type of document and how the extracted terminology was used within the context of our Answer Extraction System. |
Keywords |
Question answering, Technical domains, Technical terminology, XML |
Full Paper |