[Corpora-List] alternative methods/approaches in automatic term extraction
Joana Paulo
Joana.Paulo at rnl.ist.utl.pt
Tue Oct 22 11:09:40 UTC 2002
Mail de Joana Lúcio PauloMost of the work done uses statistical, linguistical or a combination of both.
Vivaldi's "Improving Term Extraction by System Combination using Boosting "
(http://citeseer.nj.nec.com/490497.html) presents some information that can be used
take a look...
Also you can also take a look at Kyo Kageura's "Methods of Automatic Term Recognition A Review" (http://citeseer.nj.nec.com/kageura96methods.html)
or Rosa Estopà's "Sistemes d'extracció automàtica de (candidats a) termes: Estat de la qüestió"
[Systems for automatic extraction of (candidate) terms: The state of the art] (sorry but it is in catalan... you can try to ask the authors for the english version)
Hope that this may be useful,
Joana
Joana Lúcio Paulo Joana.Paulo at RNL.IST.UTL.Pt
INESC ID Lisboa, Rua Alves Redol 9, 1000-029 Lisboa, Portugal
----- Original Message -----
From: "KERREMANS, Koen" <Koen.Kerremans at ehb.be>
To: <mt-list at eamt.org>
Cc: <corpora at hd.uib.no>
Sent: Tuesday, October 22, 2002 9:14 AM
Subject: [Corpora-List] alternative methods/approaches in automatic term extraction
> Hi,
>
> The possibilities of automatic term extraction are usually explored using
> statistical information, linguistic information or a combination of both.
> Does anyone know of "alternative methods/approaches", i.e.
> methods/approaches that make use of other types of information (besides
> statistical or linguistic information)?
>
> Kind regards,
>
> Koen Kerremans
>
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