Konferensartikel

IPhraxtor - A linguistically informed system for extraction of term candidates

Magnus Merkel
Department of Computer and Information Science, Linköping University, Sweden

Jody Foo
Department of Computer and Information Science, Linköping University, Sweden

Lars Ahrenberg
Department of Computer and Information Science, Linköping University, Sweden

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Ingår i: Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Linköping Electronic Conference Proceedings 85:14, s. 121-132

NEALT Proceedings Series 16:14, s. 121-132

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Publicerad: 2013-05-17

ISBN: 978-91-7519-589-6

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

In this paper a method and a flexible tool for performing monolingual term extraction is presented; based on the use of syntactic analysis where information on parts-of-speech; syntactic functions and surface syntax tags can be utilised. The standard approaches to evaluating term extraction; namely by manual evaluation of the top n term candidates or by comparing to a gold standard consisting of a list of terms from a specific domain can have its advantages; but in this paper we try to realise a proposal by Bernier-Colborne (2012) where extracted terms are compared to a gold standard consisting of a test corpus where terms have been annotated in context. Apart from applying this evaluation to different configuratio

Nyckelord

Computational terminology; term extraction; evaluation; terminological work

Referenser

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