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NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task ...
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NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments ...
Abstract: Although the prediction of dialects is an important language processing task, with a wide range of applications, existing work is largely limited to coarse-grained varieties. Inspired by geolocation research, we propose the novel task of Micro-Dialect Identification (MDI) and introduce MARBERT, a new language model with striking abilities to predict a fine-grained variety (as small as that of a city) given a single, short message. For modeling, we offer a range of novel spatially and linguistically-motivated multi-task learning models. To showcase the utility of our models, we introduce a new, large-scale dataset of Arabic micro-varieties (low-resource) suited to our tasks. MARBERT predicts micro-dialects with 9.9% F1, ~76X better than a majority class baseline. Our new language model also establishes new state-of-the-art on several external tasks. ... : Accepted in EMNLP 2020 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2010.04900
https://arxiv.org/abs/2010.04900
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NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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AraNet: A Deep Learning Toolkit for Arabic Social Media ...
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BERT-Based Arabic Social Media Author Profiling ...
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7
Multi-Task Bidirectional Transformer Representations for Irony Detection ...
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DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect ...
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