Article | Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16 | IPhraxtor - A linguistically informed system for extraction of term candidates

Title:
IPhraxtor - A linguistically informed system for extraction of term candidates
Author:
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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Full text (pdf)
Year:
2013
Conference:
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16
Issue:
085
Article no.:
014
Pages:
121-132
No. of pages:
12
Publication type:
Abstract and Fulltext
Published:
2013-05-17
ISBN:
978-91-7519-589-6
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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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

Keywords: Computational terminology; term extraction; evaluation; terminological work

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

Author:
Magnus Merkel, Jody Foo, Lars Ahrenberg
Title:
IPhraxtor - A linguistically informed system for extraction of term candidates
References:

Ananiadou; S. 1994. A methodology for automatic term recognition. In Proceedings of the 15th conference on Computational linguistics; pages 1034‚Äď1038; Morristown; NJ; USA. Association for Computational Linguistics.


Bernier-Colborne; G. (2012). Defining a Gold Standard for the evaluation of Term Extractors. In: Proceedings of the colabTKR workshop Teminology and Knowledge Representation; Istanbul; Turkey.


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Mustafa El Hadi; W.; Timimi; I.. Dabadie; M.; Choukri; K.; Hamon; O.; Chiao; Y.-C. (2006). Terminological resources acquisition tools: Toward a user-oriented evaluation model. In Proceedings of LREC’06; pp. 945-958; Genova; Italy.


Nazarenko; A. & Zargayouna; H. (2009). Evaluating term extraction. In: Proceedings of the International Conference RANLO 2009; pp. 299-304; Borovets; Bulgaria. Terminologicentrum (2012). Rikstermbanken. http:www.rikstermbanken.se. Terminologicentrum; Stockholm.


Tapanainen; P.; & J√§rvinen; T. (1997). A non-projective dependency parser. In Proceedings of the fifth conference on Applied Natural Language Processing (pp. 64‚Äď71). Washington; DC; USA. Stroudsburg; PA; USA: Association for Computational Linguistics.


Zhang; Z.; Iria; J.; Brewster; C. & Ciravegna; F. (2008). A comparative evaluation of term recognition algorithms. In: Proceedings of LREC’08; pp. 2108-2113; Marrakech; Morocco.

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

Author:
Magnus Merkel, Jody Foo, Lars Ahrenberg
Title:
IPhraxtor - A linguistically informed system for extraction of term candidates
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