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researcher

Kabil Essefar

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL2

identity via Semantic Scholar / OpenAlex

most citedDeep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2021

BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification

Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar +3

Dialect and standard language identification are crucial tasks for many Arabic natural language processing applications. In this paper, we present our deep learning-based system, s…

cs.CL2021★ 6 cited

Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language

Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar +3

The prominence of figurative language devices, such as sarcasm and irony, poses serious challenges for Arabic Sentiment Analysis (SA). While previous research works tackle SA and s…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.