Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Search and explore
Search
Explore ORBilu
Open Science
Open Science Services
Webinars
PhD workshops
Statistics
Help
Your ORBilu journey: new or leaving UL
User Guide
FAQ
Publication list
Document types
Reporting
Training
ORCID
About
About ORBilu
Deposit Mandate
ORBilu team
Impact and visibility
About statistics
About metrics
OAI-PMH
Project history
Legal Information
Data protection
Legal notices
Add a publication
Back
Home
RGCL at IDAT: Deep Learning models for Irony Detection in Arabic Language - 2019
Request a copy
Paper published in a journal (Scientific congresses, symposiums and conference proceedings)
RGCL at IDAT: Deep Learning models for Irony Detection in Arabic Language
Ranasinghe, Tharindu
;
Saadany, Hadeel
;
PLUM, Alistair
et al.
2019
•
In
Forum for Information Retrieval Evaluation 2019 (Working Notes)
Peer reviewed
Permalink
https://hdl.handle.net/10993/57547
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
RGCL_at_IDAT__Deep_Learning_models_for_Irony_Detection_.pdf
Author postprint (352.69 kB)
Request a copy
All documents in ORBilu are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Disciplines :
Languages & linguistics
Author, co-author :
Ranasinghe, Tharindu
Saadany, Hadeel
PLUM, Alistair
;
University of Wolverhampton > Research Group in Computational Linguistics
Mandhari, Salim
Mohamed, Emad
Orasan, Constantin
Mitkov, Ruslan
External co-authors :
yes
Language :
English
Title :
RGCL at IDAT: Deep Learning models for Irony Detection in Arabic Language
Publication date :
2019
Event name :
IDAT
Event date :
2019
Audience :
International
Journal title :
Forum for Information Retrieval Evaluation 2019 (Working Notes)
Peer review/Selection committee :
Peer reviewed
Funders :
IDAT
Available on ORBilu :
since 21 November 2023
Statistics
Number of views
83 (5 by Unilu)
Number of downloads
0 (0 by Unilu)
More statistics
Bibliography
Similar publications
Contact ORBilu