no code implementations • OSACT (LREC) 2022 • Mohamed Aziz Bennessir, Malek Rhouma, Hatem Haddad, Chayma Fourati
This paper provides a detailed overview of the system we submitted as part of the OSACT2022 Shared Tasks on Fine-Grained Hate Speech Detection on Arabic Twitter, its outcome, and limitations.
no code implementations • EACL (WANLP) 2021 • Malek Naski, Abir Messaoudi, Hatem Haddad, Moez BenHajhmida, Chayma Fourati, Aymen Ben Elhaj Mabrouk
We tackled both subtasks, namely Sarcasm Detection (Subtask 1) and Sentiment Analysis (Subtask 2).
no code implementations • EACL (WANLP) 2021 • Chayma Fourati, Hatem Haddad, Abir Messaoudi, Moez BenHajhmida, Aymen Ben Elhaj Mabrouk, Malek Naski
On various Social Media platforms, people, tend to use the informal way to communicate, or write posts and comments: their local dialects.
no code implementations • 25 Nov 2021 • Abir Messaoudi, Ahmed Cheikhrouhou, Hatem Haddad, Nourchene Ferchichi, Moez BenHajhmida, Abir Korched, Malek Naski, Faten Ghriss, Amine Kerkeni
Despite their success, most of the available models have been trained on Indo-European languages however similar research for under-represented languages and dialects remains sparse.
no code implementations • 11 Oct 2021 • Slim Gharbi, Heger Arfaoui, Hatem Haddad, Mayssa Kchaou
The complete freedom of expression in social media has its costs especially in spreading harmful and abusive content that may induce people to act accordingly.
1 code implementation • 5 Aug 2021 • Mountaga Diallo, Chayma Fourati, Hatem Haddad
For easier communication, posting, or commenting on each others posts, people use their dialects.
1 code implementation • 1 Jun 2021 • Wassim Henia, Oumayma Rjab, Hatem Haddad, Chayma Fourati
This paper provides a detailed overview of the system and its outcomes, which were produced as part of the NLP4IF Shared Task on Fighting the COVID-19 Infodemic at NAACL 2021.
1 code implementation • 6 Apr 2021 • Kathleen Siminyu, Godson Kalipe, Davor Orlic, Jade Abbott, Vukosi Marivate, Sackey Freshia, Prateek Sibal, Bhanu Neupane, David I. Adelani, Amelia Taylor, Jamiil Toure Ali, Kevin Degila, Momboladji Balogoun, Thierno Ibrahima DIOP, Davis David, Chayma Fourati, Hatem Haddad, Malek Naski
Advances in speech and language technologies enable tools such as voice-search, text-to-speech, speech recognition and machine translation.
no code implementations • 16 Mar 2021 • Aymen Ben Elhaj Mabrouk, Moez Ben Haj Hmida, Chayma Fourati, Hatem Haddad, Abir Messaoudi
Searching for an available, reliable, official, and understandable information is not a trivial task due to scattered information across the internet, and the availability lack of governmental communication channels communicating with African dialects and languages.
no code implementations • SEMEVAL 2020 • Abir Messaoudi, Hatem Haddad, Moez Ben Haj Hmida
We describe our submitted system to the SemEval 2020.
no code implementations • 14 Oct 2020 • Abir Messaoudi, Hatem Haddad, Moez Ben HajHmida, Chayma Fourati, Abderrazak Ben Hamida
In this paper, we focus on the Tunisian dialect sentiment analysis used on social media.
2 code implementations • 29 Apr 2020 • Chayma Fourati, Abir Messaoudi, Hatem Haddad
On social media, Arabic people tend to express themselves in their own local dialects.
no code implementations • WS 2019 • Hala Mulki, Hatem Haddad, Chedi Bechikh Ali, Halima Alshabani
Hate speech and abusive language have become a common phenomenon on Arabic social media.
no code implementations • WS 2019 • Hala Mulki, Hatem Haddad, Mourad Gridach, Ismail Babao{\u{g}}lu
Arabic sentiment analysis models have employed compositional embedding features to represent the Arabic dialectal content.
no code implementations • SEMEVAL 2019 • Hala Mulki, Chedi Bechikh Ali, Hatem Haddad, Ismail Babao{\u{g}}lu
In this paper, we describe our contribution in SemEval-2019: subtask A of task 5 {``}Multilingual detection of hate speech against immigrants and women in Twitter (HatEval){''}.
no code implementations • 23 Apr 2019 • Hala Mulki, Hatem Haddad, Mourad Gridach, Ismail Babaoglu
Therefore, we develop an algorithm to detect the sentiment of Named Entities based on the majority of attitudes towards them.
no code implementations • SEMEVAL 2018 • Hala Mulki, Chedi Bechikh Ali, Hatem Haddad, Ismail Babao{\u{g}}lu
A multilabel classification system Tw-StAR was developed to recognize the emotions embedded in Arabic, English and Spanish tweets.
no code implementations • WS 2017 • Mourad Gridach, Hatem Haddad, Hala Mulki
Therefore, the ability to keep customers in a brand is becoming more challenging these days.
no code implementations • SEMEVAL 2017 • Hala Mulki, Hatem Haddad, Mourad Gridach, Ismail Babaoglu
In this paper, we present our contribution in SemEval 2017 international workshop.