Search Results for author: Hala Mulki

Found 9 papers, 1 papers with code

Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language

1 code implementation EACL (WANLP) 2021 Hala Mulki, Bilal Ghanem

Moreover, Let-Mi was used as an evaluation dataset through binary/multi-/target classification tasks conducted by several state-of-the-art machine learning systems along with Multi-Task Learning (MTL) configuration.

Multi-Task Learning

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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