At 12:45 02/01/2003 +0100, you wrote:
>Hello list members,
>My Ph.D. thesis is to be on named entity recognition for Norwegian. I want
>to use existing programming tools implementing different statistical
>methods. Most of my reading has been on maximum entropy modelling. Do any
>of you have any experience with existing tools that can be used for named
>entity recognition?
No experience but a couple of references:
[Chieu02] Chieu, Hai Leong, & Ng, Hwee Tou (2002). Named Entity Recognition:
A Maximum Entropy Approach Using Global Information. Proceedings of
the 19th International Conference on Computational Linguistics (COLING
2002). (pp. 190-196). Taipei, Taiwan.
[Chieu02b] Chieu, Hai Leong, & Ng, Hwee Tou (2002). Teaching a Weaker
Classifier: Named Entity Recognition on Upper Case Text. Proceedings
of the 40th Annual Meeting of the Association for Computational
Linguistics (ACL-02). (pp. 481-488). Philadelphia, Pennsylvania, USA.
Also, there may be some papers in the CONLL'02 workshop. The shared task track
was focused on Language-Independent Named Entity Recognition, and the web page
with papers, results, and training and testing data for Spanish and Dutch is:
http://cnts.uia.ac.be/conll2002/ner/
>Ideally I would like to be able to experiment with the kind of information
>provided to the system, so I want open source code that can be modified.
>In the case of maximum entropy modelling I would appreciate the
>possibility of trying different algorithms.
Tha package used by Chieu et al. is maxent
(http://maxent.sourceforge.net/), a part of the OpenNLP project
(http://opennlp.sourceforge.net/); it is opensource, in Java, and it has
been used for developing several classifiers in the Grok package
(http://grok.sourceforge.net/), including a POS tagger and a Name Finder
for English.
>It would be an extra bonus if I could try out the frequency redistibution
>algorithm advocated by Mikheev.
>I intend to post a summary of the comments received. I appreciate your help.
>Best, Åsne Haaland
>
>
>Åsne Haaland, stipendiat
>Tekstlaboratoriet, Inst. for lingvistiske fag (http://www.hf.uio.no/tekstlab)
>Pb. 1102 Blindern, 0317 Oslo; besøksadr.: rom 523 Henrik Wergelands hus
>Tlf.: 22 85 67 87, faks: 22 85 69 1
>E-post: a.t.haaland@ilf.uio.no
>
>
_______________________________________________________________________________
Jose Maria Gomez Hidalgo
Departamento de Inteligencia Artificial
Universidad Europea de Madrid
28670 - Villaviciosa de Odon - MADRID
(+34) 912115670
jmgomez@dinar.esi.uem.es
http://www.esi.uem.es/~jmgomez/
_______________________________________________________________________________
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