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RGCL at IDAT: deep learning models for irony detection in Arabic language. / Ranasinghe, Tharindu; Saadany, Hadeel; Plum, Alistair et al.
Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, 12th-15th December, 2019.. CEUR Workshop Proceedings, 2019. p. 416-425 (CEUR Workshop Proceedings ; Vol. 2517).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Ranasinghe, T, Saadany, H, Plum, A
, Al Mandhari, S, Mohamed, E, Orasan, C
& Mitkov, R 2019,
RGCL at IDAT: deep learning models for irony detection in Arabic language. in
Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, 12th-15th December, 2019.. CEUR Workshop Proceedings , vol. 2517, CEUR Workshop Proceedings, pp. 416-425. <
https://ceur-ws.org/Vol-2517/T4-5.pdf>
APA
Ranasinghe, T., Saadany, H., Plum, A.
, Al Mandhari, S., Mohamed, E., Orasan, C.
, & Mitkov, R. (2019).
RGCL at IDAT: deep learning models for irony detection in Arabic language. In
Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, 12th-15th December, 2019. (pp. 416-425). (CEUR Workshop Proceedings ; Vol. 2517). CEUR Workshop Proceedings.
https://ceur-ws.org/Vol-2517/T4-5.pdfVancouver
Author
Bibtex
@inproceedings{d587c664a60e4710a3b4e008060ac387,
title = "RGCL at IDAT: deep learning models for irony detection in Arabic language",
abstract = "This article describes the system submitted by the RGCL team to the IDAT 2019 Shared Task: Irony Detection in Arabic Tweets. The system detects irony in Arabic tweets using deep learning. The paper evaluates the performance of several deep learning models, as well as how text cleaning and text pre-processing influence the accuracy of the system. Several runs were submitted. The highest F1 score achieved for one of the submissions was 0.818 making the team RGCL rank 4th out of 10 teams in nal results. Overall, we present a system that uses minimal pre-processing but capable of achieving competitive results.",
author = "Tharindu Ranasinghe and Hadeel Saadany and Alistair Plum and {Al Mandhari}, Salim and Emad Mohamed and Constantin Orasan and Ruslan Mitkov",
year = "2019",
month = dec,
day = "12",
language = "English",
series = "CEUR Workshop Proceedings ",
publisher = "CEUR Workshop Proceedings",
pages = "416--425",
booktitle = "Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, 12th-15th December, 2019.",
}
RIS
TY - GEN
T1 - RGCL at IDAT
T2 - deep learning models for irony detection in Arabic language
AU - Ranasinghe, Tharindu
AU - Saadany, Hadeel
AU - Plum, Alistair
AU - Al Mandhari, Salim
AU - Mohamed, Emad
AU - Orasan, Constantin
AU - Mitkov, Ruslan
PY - 2019/12/12
Y1 - 2019/12/12
N2 - This article describes the system submitted by the RGCL team to the IDAT 2019 Shared Task: Irony Detection in Arabic Tweets. The system detects irony in Arabic tweets using deep learning. The paper evaluates the performance of several deep learning models, as well as how text cleaning and text pre-processing influence the accuracy of the system. Several runs were submitted. The highest F1 score achieved for one of the submissions was 0.818 making the team RGCL rank 4th out of 10 teams in nal results. Overall, we present a system that uses minimal pre-processing but capable of achieving competitive results.
AB - This article describes the system submitted by the RGCL team to the IDAT 2019 Shared Task: Irony Detection in Arabic Tweets. The system detects irony in Arabic tweets using deep learning. The paper evaluates the performance of several deep learning models, as well as how text cleaning and text pre-processing influence the accuracy of the system. Several runs were submitted. The highest F1 score achieved for one of the submissions was 0.818 making the team RGCL rank 4th out of 10 teams in nal results. Overall, we present a system that uses minimal pre-processing but capable of achieving competitive results.
M3 - Conference contribution/Paper
T3 - CEUR Workshop Proceedings
SP - 416
EP - 425
BT - Working Notes of FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India, 12th-15th December, 2019.
PB - CEUR Workshop Proceedings
ER -
