Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

A Benchmark Study of Contrastive Learning for Arabic Social Meaning

Domaine:

natural language processing

Type de record:

paper
Créateur:
KhoNagElmAbd
Hôte:avatar
Contrastive learning (CL) brought significant progress to various NLP tasks. Despite this progress, CL has not been applied to Arabic NLP to date. Nor is it clear how much benefits it could bring to particular classes of tasks such as those involved in Arabic social meaning (e.g., sentiment analysis, dialect identification, hate speech detection). In this work, we present a comprehensive benchmark study of state-of-the-art supervised CL methods on a wide array of Arabic social meaning tasks. Through extensive empirical analyses, we show that CL methods outperform vanilla finetuning on most tasks we consider. We also show that CL can be data efficient and quantify this efficiency. Overall, our work allows us to demonstrate the promise of CL methods, including in low-resource settings.

Visit

arxiv.org

Tasks

hate speech detectionsentiment analysistext classification

Tags

Computation and Language

Similaires

Benchmark Dataset for DiaLex, A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsLinguistic Variation, Social Meaning and Covert Prestige in a Northern Moroccan Arabic VarietyA Contrastive Study on Noun Diminutive Formation in Tafili Spoken Arabic and Jijilian Spoken ArabicDiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsBugis and Arabic Morphology: A Contrastive AnalysisArabicDialectSafety: A Dialect-Aware Benchmark for Arabic Content Safety Classification

Benchmark Dataset for DiaLex, A Benchmark for Evaluating Multidialectal Arabic Word Embeddings

Word embeddings are a core component of modern natural language processing systems, making the ability to thoroughly evaluate them a vital task. We describe DiaLex, a benchmark for intrinsic evaluation of dialectal Arabic word embeddings. DiaLex covers five importa

Linguistic Variation, Social Meaning and Covert Prestige in a Northern Moroccan Arabic Variety

This paper addresses how gender and age, as macro-sociological factors, influence variation and chan

A Contrastive Study on Noun Diminutive Formation in Tafili Spoken Arabic and Jijilian Spoken Arabic

The present study aims at contrasting the patterns governing noun diminutive formation between Tafil

DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings

Word embeddings are a core component of modern natural language processing systems, making the ability to thoroughly evaluate them a vital task. We describe DiaLex, a benchmark for intrinsic evaluation of dialectal Arabic word embedding. DiaLex covers five importan

Bugis and Arabic Morphology: A Contrastive Analysis

This study is aimed at (1) describing the process of word formation using al-ziyaadah and affixation

ArabicDialectSafety: A Dialect-Aware Benchmark for Arabic Content Safety Classification

We present ArabicDialectSafety, a human-curated Arabic safety dataset of 25,071 prompts covering six