Search Results for author: Hatem Haddad

Found 20 papers, 4 papers with code

TunBERT: Pretrained Contextualized Text Representation for Tunisian Dialect

no code implementations25 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.

Dialect Identification Language Modelling +3

TEET! Tunisian Dataset for Toxic Speech Detection

no code implementations11 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.

Feature Engineering

Bambara Language Dataset for Sentiment Analysis

1 code implementation5 Aug 2021 Mountaga Diallo, Chayma Fourati, Hatem Haddad

For easier communication, posting, or commenting on each others posts, people use their dialects.

Sentiment Analysis

iCompass at NLP4IF-2021–Fighting the COVID-19 Infodemic

1 code implementation1 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.

A Multilingual African Embedding for FAQ Chatbots

no code implementations16 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.

Chatbot Question Answering

TUNIZI: a Tunisian Arabizi sentiment analysis Dataset

2 code implementations29 Apr 2020 Chayma Fourati, Abir Messaoudi, Hatem Haddad

On social media, Arabic people tend to express themselves in their own local dialects.

Sentiment Analysis

Tw-StAR at SemEval-2019 Task 5: N-gram embeddings for Hate Speech Detection in Multilingual Tweets

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){''}.

Hate Speech Detection

Empirical Evaluation of Leveraging Named Entities for Arabic Sentiment Analysis

no code implementations23 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.

Arabic Sentiment Analysis

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