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

Translated title of the contribution: Turkish named entity recognition with deep learning

Asim Güneş, A. Cuneyd Tantuǧ

Department of Artificial Intelligence and Data Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

23 Citations (Scopus)

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.

Translated title of the contribution	Turkish named entity recognition with deep learning
Original language	Turkish
Title of host publication	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538615010
DOIs	https://doi.org/10.1109/SIU.2018.8404500
Publication status	Published - 5 Jul 2018
Event	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Duration: 2 May 2018 → 5 May 2018

Publication series

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

Conference

Conference	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Country/Territory	Turkey
City	Izmir
Period	2/05/18 → 5/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Access to Document

10.1109/SIU.2018.8404500

Cite this

@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, Turkey, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 - http://www.scopus.com/inward/record.url?scp=85050824216&partnerID=8YFLogxK

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

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this