Terminology as Knowledge in Answer Extraction

It is well known that one of the greatest hurdles in automatically processing technical documentation is the large amount of specific terminology that characterizes these domains. Terminology poses two major challenges to the developers of NLP applications: how to identify domain specific terms in the documents and how to efficiently process them. In this paper we will present methodologies that we have used to extract and bootstrap a terminological database and its usage in an answer extraction system. Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-19092 Originally published at: Rinaldi, F; Dowdall, J; Hess, M; Kaljurand, K; Koitand, M; Kahusk, N; Vider, K (2002). Terminology as knowledge in answer extraction. In: TKE-2002: 6th International Conference on Terminology and Knowledge Engineering, Nancy, France, August 2002 August 2002. Terminology as Knowledge in Answer Extraction Fabio Rinaldi , James Dowdall , Michael Hess , Kaarel Kaljurand, Mare Koit, Kadri Vider, Neeme Kahusk Institute of Computational Linguistics, University of Zürich Winterthurerstrasse 190, CH-8057 Zürich, Switzerland fdowdall,hess,[email protected] Research Group of Computational Linguistics, University of Tartu J. Liivi 2, 50409 Tartu, Estonia fnkahusk, kaarel, koit, [email protected]