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AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization ...
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NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task ...
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The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models ...
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Abstract:
In this paper, we explore the effects of language variants, data sizes, and fine-tuning task types in Arabic pre-trained language models. To do so, we build three pre-trained language models across three variants of Arabic: Modern Standard Arabic (MSA), dialectal Arabic, and classical Arabic, in addition to a fourth language model which is pre-trained on a mix of the three. We also examine the importance of pre-training data size by building additional models that are pre-trained on a scaled-down set of the MSA variant. We compare our different models to each other, as well as to eight publicly available models by fine-tuning them on five NLP tasks spanning 12 datasets. Our results suggest that the variant proximity of pre-training data to fine-tuning data is more important than the pre-training data size. We exploit this insight in defining an optimized system selection model for the studied tasks. ... : Accepted to WANLP 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2103.06678 https://arxiv.org/abs/2103.06678
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Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity ...
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Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity ...
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Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects ...
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Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations
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In: Proceedings of the 28th International Conference on Computational Linguistics ; 28th International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03168039 ; 28th International Conference on Computational Linguistics, Dec 2020, Barcelona (on line), Spain. ⟨10.18653/v1/2020.coling-main.225⟩ (2020)
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NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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A Panoramic Survey of Natural Language Processing in the Arab World ...
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NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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Gender-Aware Reinflectionusing Linguistically Enhanced Neural Models ...
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The Paradigm Discovery Problem
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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