Gürültülü Metinlerdeki Sayisal İfadelerin Rakamsal Temsile Dönüştürülmesi

Gozde Gul Ssahin; Erdem Emekligil; Secil Arslan; Onur Aggin; Gulsen Eryiggit

doi:10.1109/SIU.2017.7960549

Gürültülü Metinlerdeki Sayisal İfadelerin Rakamsal Temsile Dönüştürülmesi

Gozde Gul Ssahin^*
, Erdem Emekligil
, Secil Arslan
, Onur Aggin
, Gulsen Eryiggit

^*Bu çalışma için yazışmadan sorumlu yazar

Yapay Zeka ve Veri Mühendisliği Bölümü

Istanbul Technical University
Arge Ve Özel Projeler Yapi Kredi Teknoloji

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

Özet

In this work, we propose a method to detect spelling of numbers from noisy text and efficiently convert them into their numerical representations. We design a greedy algorithm that detects spanning of numbers and use a fast and memory efficient data structure based on word graphs for digit conversion. Our proposed data structure scored 88.2% on synthetic dataset and overall system resulted with 70.3% on real dataset.

Tercüme edilen katkı başlığı	Conversion of number expressions within noisy text into numerical representation
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781509064946
DOI'lar	https://doi.org/10.1109/SIU.2017.7960549
Yayın durumu	Yayınlandı - 27 Haz 2017
Etkinlik	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Türkiye Süre: 15 May 2017 → 18 May 2017

Yayın serisi

Adı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

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

???event.eventtypes.event.conference???	25th Signal Processing and Communications Applications Conference, SIU 2017
Ülke/Bölge	Türkiye
Şehir	Antalya
Periyot	15/05/17 → 18/05/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

Keywords

noisy text
number conversion
spelling correction
trie

Belgeye Erişim

10.1109/SIU.2017.7960549

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ssahin, G. G., Emekligil, E., Arslan, S., Aggin, O., & Eryiggit, G. (2017). Gürültülü Metinlerdeki Sayisal İfadelerin Rakamsal Temsile Dönüştürülmesi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Makale 7960549 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960549

Ssahin, Gozde Gul ; Emekligil, Erdem ; Arslan, Secil et al. / Gürültülü Metinlerdeki Sayisal İfadelerin Rakamsal Temsile Dönüştürülmesi. 2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

@inproceedings{2140ad9d9e264a52a749cf301ec5e56a,

title = "G{\"u}r{\"u}lt{\"u}l{\"u} Metinlerdeki Sayisal İfadelerin Rakamsal Temsile D{\"o}n{\"u}{\c s}t{\"u}r{\"u}lmesi",

abstract = "In this work, we propose a method to detect spelling of numbers from noisy text and efficiently convert them into their numerical representations. We design a greedy algorithm that detects spanning of numbers and use a fast and memory efficient data structure based on word graphs for digit conversion. Our proposed data structure scored 88.2\% on synthetic dataset and overall system resulted with 70.3\% on real dataset.",

keywords = "noisy text, number conversion, spelling correction, trie",

author = "Ssahin, \{Gozde Gul\} and Erdem Emekligil and Secil Arslan and Onur Aggin and Gulsen Eryiggit",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Signal Processing and Communications Applications Conference, SIU 2017 ; Conference date: 15-05-2017 Through 18-05-2017",

year = "2017",

month = jun,

day = "27",

doi = "10.1109/SIU.2017.7960549",

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

series = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

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

booktitle = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

address = "United States",

}

Ssahin, GG, Emekligil, E, Arslan, S, Aggin, O & Eryiggit, G 2017, Gürültülü Metinlerdeki Sayisal İfadelerin Rakamsal Temsile Dönüştürülmesi. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960549, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Türkiye, 15/05/17. https://doi.org/10.1109/SIU.2017.7960549

Gürültülü Metinlerdeki Sayisal İfadelerin Rakamsal Temsile Dönüştürülmesi. / Ssahin, Gozde Gul; Emekligil, Erdem; Arslan, Secil et al.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960549 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

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

TY - GEN

T1 - Gürültülü Metinlerdeki Sayisal İfadelerin Rakamsal Temsile Dönüştürülmesi

AU - Ssahin, Gozde Gul

AU - Emekligil, Erdem

AU - Arslan, Secil

AU - Aggin, Onur

AU - Eryiggit, Gulsen

PY - 2017/6/27

Y1 - 2017/6/27

N2 - In this work, we propose a method to detect spelling of numbers from noisy text and efficiently convert them into their numerical representations. We design a greedy algorithm that detects spanning of numbers and use a fast and memory efficient data structure based on word graphs for digit conversion. Our proposed data structure scored 88.2% on synthetic dataset and overall system resulted with 70.3% on real dataset.

AB - In this work, we propose a method to detect spelling of numbers from noisy text and efficiently convert them into their numerical representations. We design a greedy algorithm that detects spanning of numbers and use a fast and memory efficient data structure based on word graphs for digit conversion. Our proposed data structure scored 88.2% on synthetic dataset and overall system resulted with 70.3% on real dataset.

KW - noisy text

KW - number conversion

KW - spelling correction

KW - trie

UR - https://www.scopus.com/pages/publications/85026291956

U2 - 10.1109/SIU.2017.7960549

DO - 10.1109/SIU.2017.7960549

M3 - Konferans katkısı

AN - SCOPUS:85026291956

T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017

Y2 - 15 May 2017 through 18 May 2017

ER -

Ssahin GG, Emekligil E, Arslan S, Aggin O, Eryiggit G. Gürültülü Metinlerdeki Sayisal İfadelerin Rakamsal Temsile Dönüştürülmesi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7960549. (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). doi: 10.1109/SIU.2017.7960549

Gürültülü Metinlerdeki Sayisal İfadelerin Rakamsal Temsile Dönüştürülmesi

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap