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On the Author Profiling and Deception Detection in Arabic shared task at FIRE

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Javier Sánchez-JunqueraAuthors Info & Claims

FIRE '19: Proceedings of the 11th Annual Meeting of the Forum for Information Retrieval Evaluation

Pages 7 - 9

https://doi.org/10.1145/3368567.3368586

Published: 12 December 2019 Publication History

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Abstract

This paper summarises the Author Profiling and Deception Detection in Arabic (APDA) shared task at PAN@FIRE 2019. Two have been the main aims of this year's task: i) to profile the age, gender and native language of a Twitter user; ii) to determine whether an Arabic text is deceptive or not in two different genres: Twitter and news headlines. For this purpose we have created three corpora in Arabic. Altogether, the approaches of 13 participants are evaluated.

References

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Cited By

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Sun YKong LHan YNing H(2024)Author Profiling in Arabic Tweets Based on BERT ModelBusiness Intelligence and Information Technology10.1007/978-981-97-3980-6_44(511-519)Online publication date: 30-Aug-2024
https://doi.org/10.1007/978-981-97-3980-6_44
Ouni SFkih FOmri M(2023)A survey of machine learning-based author profiling from texts analysis in social networksMultimedia Tools and Applications10.1007/s11042-023-14711-882:24(36653-36686)Online publication date: 18-Mar-2023
https://doi.org/10.1007/s11042-023-14711-8
Chouikhi HJarray F(2023)BERT-Based Ensemble Learning Approach for Sentiment AnalysisKnowledge Discovery, Knowledge Engineering and Knowledge Management10.1007/978-3-031-35924-8_7(118-128)Online publication date: 8-Jul-2023
https://doi.org/10.1007/978-3-031-35924-8_7
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Index Terms

On the Author Profiling and Deception Detection in Arabic shared task at FIRE
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing

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FIRE '19: Proceedings of the 11th Annual Meeting of the Forum for Information Retrieval Evaluation

December 2019

77 pages

ISBN:9781450377508

DOI:10.1145/3368567

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 12 December 2019

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Qatar National Research Fund

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FIRE '19

FIRE '19: Forum for Information Retrieval Evaluation

December 12 - 15, 2019

Kolkata, India

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Overall Acceptance Rate 19 of 64 submissions, 30%

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Sun YKong LHan YNing H(2024)Author Profiling in Arabic Tweets Based on BERT ModelBusiness Intelligence and Information Technology10.1007/978-981-97-3980-6_44(511-519)Online publication date: 30-Aug-2024
https://doi.org/10.1007/978-981-97-3980-6_44
Ouni SFkih FOmri M(2023)A survey of machine learning-based author profiling from texts analysis in social networksMultimedia Tools and Applications10.1007/s11042-023-14711-882:24(36653-36686)Online publication date: 18-Mar-2023
https://doi.org/10.1007/s11042-023-14711-8
Chouikhi HJarray F(2023)BERT-Based Ensemble Learning Approach for Sentiment AnalysisKnowledge Discovery, Knowledge Engineering and Knowledge Management10.1007/978-3-031-35924-8_7(118-128)Online publication date: 8-Jul-2023
https://doi.org/10.1007/978-3-031-35924-8_7
Amjad MVitman OSidorov GZhila AGelbukh A(2023)Analysis of Fake News Detection MethodsRecent Developments and the New Directions of Research, Foundations, and Applications10.1007/978-3-031-23476-7_13(131-144)Online publication date: 27-Jun-2023
https://doi.org/10.1007/978-3-031-23476-7_13
HaCohen-Kerner Y(2022)Survey on profiling age and gender of text authorsExpert Systems with Applications10.1016/j.eswa.2022.117140199(117140)Online publication date: Aug-2022
https://doi.org/10.1016/j.eswa.2022.117140
Devi VKannimuthu S(2022)Author Profiling in Code-Mixed WhatsApp Messages Using Stacked Convolution Networks and Contextualized Embedding Based Text AugmentationNeural Processing Letters10.1007/s11063-022-10898-355:1(589-614)Online publication date: 15-Jul-2022
https://doi.org/10.1007/s11063-022-10898-3
Humayun MYassin HShuja JAlourani AAbas P(2022)A transformer fine-tuning strategy for text dialect identificationNeural Computing and Applications10.1007/s00521-022-07944-535:8(6115-6124)Online publication date: 15-Nov-2022
https://doi.org/10.1007/s00521-022-07944-5
Amjad MSidorov GZhila AGelbukh ARosso P(2020)UrduFake@FIRE2020: Shared Track on Fake News Identification in UrduProceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/3441501.3441541(37-40)Online publication date: 16-Dec-2020
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Rosso PRangel F(2020)Author Profiling Tracks at FIRESN Computer Science10.1007/s42979-020-0073-11:2Online publication date: 26-Feb-2020
https://doi.org/10.1007/s42979-020-0073-1

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Multilingual author profiling on Facebook

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Two template matching approaches to Arabic, Amharic and Latin isolated characters recognition

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