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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Bouamor, Houda. - : arXiv, 2020 BASE Show details 2 DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings ... Abdul-Mageed, Muhammad; Elbassuoni, Shady; Doughman, Jad. - : arXiv, 2020 BASE Show details 3 Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19 ... Abdul-Mageed, Muhammad; Elmadany, AbdelRahim; Nagoudi, El Moatez Billah. - : arXiv, 2020 BASE Show details 4 One Model to Pronounce Them All: Multilingual Grapheme-to-Phoneme Conversion With a Transformer Ensemble ... Vesik, Kaili; Abdul-Mageed, Muhammad; Silfverberg, Miikka. - : arXiv, 2020 BASE Show details 5 Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments ... Abdul-Mageed, Muhammad; Zhang, Chiyu; Elmadany, AbdelRahim. - : arXiv, 2020 BASE Show details 6 Automatic Detection of Machine Generated Text: A Critical Survey ... Jawahar, Ganesh; Abdul-Mageed, Muhammad; Lakshmanan, Laks V. S.. - : arXiv, 2020 BASE Show details 7 NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ... The 28th International Conference on Computational Linguistics 2020; Abdul-Mageed, Muhammad; Bouamor, Houda; Habash, Nizar; Zhang, Chiyu. - : Underline Science Inc., 2020 Abstract: We present the results and findings of the First Nuanced Arabic Dialect Identification Shared Task (NADI). This Shared Task includes two subtasks: country-level dialect identification (Subtask 1) and province-level sub-dialect identification (Subtask 2). The data for the shared task covers a total of 100 provinces from 21 Arab countries and are collected from the Twitter domain. As such, NADI is the first shared task to target naturally-occurring fine-grained dialectal text at the sub-country level. A total of 61 teams from 25 countries registered to participate in the tasks, thus reflecting the interest of the community in this area. We received 47 submissions for Subtask 1 from 18 teams and 9 submissions for Subtask 2 from 9 teams. ... Keyword: Natural Language Processing URL: https://underline.io/lecture/6534-nadi-2020-the-first-nuanced-arabic-dialect-identification-shared-task https://dx.doi.org/10.48448/jx10-s248 BASE Hide details 8 Proceedings of the Fifth Arabic Natural Language Processing Workshop Bouamor, Houda; Zaghouani, Wajdi. - : Association for Computational Linguistics, 2020 BASE Show details 9 AraWEAT: Multidimensional analysis of biases in Arabic word embeddings Lauscher, Anne; Takieddin, Rafik; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2020 BASE Show details

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