Derin öǧrenme ile türkçe'de varlik ismi tanima

Asim Güneş; A. Cuneyd Tantuǧ

doi:10.1109/SIU.2018.8404500

Derin öǧrenme ile türkçe'de varlik ismi tanima

Asim Güneş
, A. Cuneyd Tantuǧ

Yapay Zeka ve Veri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

25 Atıf (Scopus)

Özet

Named Entity Recognition (NER) is an important task in Natural Language Processing, Data Mining and Information Extraction areas since 1990's. While NER is a succesfully solved problem in English, it is still a hot topic in agglutinative languages like Turkish, Czech, Finnish languages. With the scope of this study we focus on Bidirectional Long Short-Term Memory (BLSTM) neural network models to solve NER problem. We suggest a succesful implementation of Deep Bidirectional Long Short Term Memory (DBLSTM) which reaches %93.69 F1 score, which is state-of-the-art result for Named Entity Recognition in Turkish.

Tercüme edilen katkı başlığı	Turkish named entity recognition with deep learning
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	1-4
Sayfa sayısı	4
ISBN (Elektronik)	9781538615010
DOI'lar	https://doi.org/10.1109/SIU.2018.8404500
Yayın durumu	Yayınlandı - 5 Tem 2018
Etkinlik	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Türkiye Süre: 2 May 2018 → 5 May 2018

Yayın serisi

Adı	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

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

???event.eventtypes.event.conference???	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Ülke/Bölge	Türkiye
Şehir	Izmir
Periyot	2/05/18 → 5/05/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Keywords

Bidirectional Long Short-Term Memory (BLSTM)
Deep Bidirectional Long Short-Term Memory (DBLSTM)
Named Entity Recognition
Natural Language Processing

Belgeye Erişim

10.1109/SIU.2018.8404500

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@inproceedings{bf0da356fcca4c369261b407a1305546,

title = "Derin {\"o}ǧrenme ile t{\"u}rk{\c c}e'de varlik ismi tanima",

abstract = "Named Entity Recognition (NER) is an important task in Natural Language Processing, Data Mining and Information Extraction areas since 1990's. While NER is a succesfully solved problem in English, it is still a hot topic in agglutinative languages like Turkish, Czech, Finnish languages. With the scope of this study we focus on Bidirectional Long Short-Term Memory (BLSTM) neural network models to solve NER problem. We suggest a succesful implementation of Deep Bidirectional Long Short Term Memory (DBLSTM) which reaches \%93.69 F1 score, which is state-of-the-art result for Named Entity Recognition in Turkish.",

keywords = "Bidirectional Long Short-Term Memory (BLSTM), Deep Bidirectional Long Short-Term Memory (DBLSTM), Named Entity Recognition, Natural Language Processing",

author = "Asim G{\"u}ne{\c s} and Tantuǧ, \{A. Cuneyd\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 ; Conference date: 02-05-2018 Through 05-05-2018",

year = "2018",

month = jul,

day = "5",

doi = "10.1109/SIU.2018.8404500",

language = "T{\"u}rk{\c c}e",

series = "26th IEEE Signal Processing and Communications Applications Conference, SIU 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--4",

booktitle = "26th IEEE Signal Processing and Communications Applications Conference, SIU 2018",

address = "United States",

}

Güneş, A & Tantuǧ, AC 2018, Derin öǧrenme ile türkçe'de varlik ismi tanima. in 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Izmir, Türkiye, 2/05/18. https://doi.org/10.1109/SIU.2018.8404500

Derin öǧrenme ile türkçe'de varlik ismi tanima. / Güneş, Asim; Tantuǧ, A. Cuneyd.
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Derin öǧrenme ile türkçe'de varlik ismi tanima

AU - Güneş, Asim

AU - Tantuǧ, A. Cuneyd

PY - 2018/7/5

Y1 - 2018/7/5

N2 - Named Entity Recognition (NER) is an important task in Natural Language Processing, Data Mining and Information Extraction areas since 1990's. While NER is a succesfully solved problem in English, it is still a hot topic in agglutinative languages like Turkish, Czech, Finnish languages. With the scope of this study we focus on Bidirectional Long Short-Term Memory (BLSTM) neural network models to solve NER problem. We suggest a succesful implementation of Deep Bidirectional Long Short Term Memory (DBLSTM) which reaches %93.69 F1 score, which is state-of-the-art result for Named Entity Recognition in Turkish.

AB - Named Entity Recognition (NER) is an important task in Natural Language Processing, Data Mining and Information Extraction areas since 1990's. While NER is a succesfully solved problem in English, it is still a hot topic in agglutinative languages like Turkish, Czech, Finnish languages. With the scope of this study we focus on Bidirectional Long Short-Term Memory (BLSTM) neural network models to solve NER problem. We suggest a succesful implementation of Deep Bidirectional Long Short Term Memory (DBLSTM) which reaches %93.69 F1 score, which is state-of-the-art result for Named Entity Recognition in Turkish.

KW - Bidirectional Long Short-Term Memory (BLSTM)

KW - Deep Bidirectional Long Short-Term Memory (DBLSTM)

KW - Named Entity Recognition

KW - Natural Language Processing

UR - https://www.scopus.com/pages/publications/85050824216

U2 - 10.1109/SIU.2018.8404500

DO - 10.1109/SIU.2018.8404500

M3 - Konferans katkısı

AN - SCOPUS:85050824216

T3 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

SP - 1

EP - 4

BT - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Y2 - 2 May 2018 through 5 May 2018

ER -

Derin öǧrenme ile türkçe'de varlik ismi tanima

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap