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

178.pdf