Initial explorations on using CRFs for turkish named entity recognition

Gökhan Akin Şseker; Güļsen Eryǐgit

Initial explorations on using CRFs for turkish named entity recognition

Gökhan Akin Şseker^*, Güļsen Eryǐgit

^*Bu çalışma için yazışmadan sorumlu yazar

Yapay Zeka ve Veri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: ???type-name??? › Yazı › bilirkişi

52 Atıf (Scopus)

Özet

This paper reports the highest results (95% in MUC and 92% in CoNLL metric) in the literature for Turkish named entity recognition; more specifically for the task of detecting person, location and organization entities in general news texts. We give an in depth analysis of the previous reported results and make comparisons with them whenever possible. We use conditional random fields (CRFs) as our statistical model. The paper presents initial explorations on the usage of rich morphological structure of the Turkish language as features to CRFs together with the use of some basic and generative gazetteers.

Orijinal dil	İngilizce
Sayfalar	2459-2474
Sayfa sayısı	16
Yayın durumu	Yayınlandı - 2012
Etkinlik	24th International Conference on Computational Linguistics, COLING 2012 - Mumbai, India Süre: 8 Ara 2012 → 15 Ara 2012

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???event.eventtypes.event.conference???	24th International Conference on Computational Linguistics, COLING 2012
Ülke/Bölge	India
Şehir	Mumbai
Periyot	8/12/12 → 15/12/12

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Initial explorations on using CRFs for turkish named entity recognition",

abstract = "This paper reports the highest results (95% in MUC and 92% in CoNLL metric) in the literature for Turkish named entity recognition; more specifically for the task of detecting person, location and organization entities in general news texts. We give an in depth analysis of the previous reported results and make comparisons with them whenever possible. We use conditional random fields (CRFs) as our statistical model. The paper presents initial explorations on the usage of rich morphological structure of the Turkish language as features to CRFs together with the use of some basic and generative gazetteers.",

keywords = "Conditional random fields, ENAMEX, Named entity recognition, Turkish",

author = "{\c S}seker, {G{\"o}khan Akin} and G{\"u}ļsen Eryǐgit",

year = "2012",

language = "English",

pages = "2459--2474",

note = "24th International Conference on Computational Linguistics, COLING 2012 ; Conference date: 08-12-2012 Through 15-12-2012",

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TY - CONF

T1 - Initial explorations on using CRFs for turkish named entity recognition

AU - Şseker, Gökhan Akin

AU - Eryǐgit, Güļsen

PY - 2012

Y1 - 2012

N2 - This paper reports the highest results (95% in MUC and 92% in CoNLL metric) in the literature for Turkish named entity recognition; more specifically for the task of detecting person, location and organization entities in general news texts. We give an in depth analysis of the previous reported results and make comparisons with them whenever possible. We use conditional random fields (CRFs) as our statistical model. The paper presents initial explorations on the usage of rich morphological structure of the Turkish language as features to CRFs together with the use of some basic and generative gazetteers.

AB - This paper reports the highest results (95% in MUC and 92% in CoNLL metric) in the literature for Turkish named entity recognition; more specifically for the task of detecting person, location and organization entities in general news texts. We give an in depth analysis of the previous reported results and make comparisons with them whenever possible. We use conditional random fields (CRFs) as our statistical model. The paper presents initial explorations on the usage of rich morphological structure of the Turkish language as features to CRFs together with the use of some basic and generative gazetteers.

KW - Conditional random fields

KW - ENAMEX

KW - Named entity recognition

KW - Turkish

UR - http://www.scopus.com/inward/record.url?scp=84876812658&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84876812658

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T2 - 24th International Conference on Computational Linguistics, COLING 2012

Y2 - 8 December 2012 through 15 December 2012

ER -

Initial explorations on using CRFs for turkish named entity recognition

Özet

???event.eventtypes.event.conference???

Diğer Dosyalar ve Linkler

Parmak izi

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