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Raghda Akasheh

Biographic Data

ID8548358
NAMERaghda Akasheh
GIVEN NAMESRaghda
FAMILY NAMEAkasheh
SIGNATUREAKASHEH R
AFFILIATIONSCarnegie Mellon University Qatar
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Stance detection in Arabic with a multi-dialectal cross-domain stance corpus

    Open Access•Anis Charfi, Mabrouka Bessghaier et al.•ARTICLE•Social Network Analysis and Mining•2024

    We present a cross-domain and multi-dialectal stance corpus for Arabic, covering the major dialect groups and four Arab regions. This research provides an important language resource for automating the task of stance detection in Dialectal Arabic while carefully considering the subtle differences in stance expression across various dialects. More than 4500 sentences in our corpus have been carefully annotated according to their stance with regard…

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  • Stance detection in Arabic with a multi-dialectal cross-domain stance corpus

    Open Access•Anis Charfi, Mabrouka Bessghaier et al.•ARTICLE•Social Network Analysis and Mining•2024

    We present a cross-domain and multi-dialectal stance corpus for Arabic, covering the major dialect groups and four Arab regions. This research provides an important language resource for automating the task of stance detection in Dialectal Arabic while carefully considering the subtle differences in stance expression across various dialects. More than 4500 sentences in our corpus have been carefully annotated according to their stance with regard…

Arabic (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Linguistics (1 work) · Mathematics (1 work) · Modern Standard Arabic (1 work) · Natural language processing (1 work) · Natural Language Processing Techniques (1 work) · Sentence (1 work) · Sentiment Analysis and Opinion Mining (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae