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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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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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Abstract:
In this paper, we present an approach for sentence-level gender reinflection using linguistically enhanced sequence-to-sequence models. Our system takes an Arabic sentence and a given target gender as input and generates a gender-reinflected sentence based on the target gender. We formulate the problem as a user-aware grammatical error correction task and build an encoder-decoder architecture to jointly model reinflection for both masculine and feminine grammatical genders. We also show that adding linguistic features to our model leads to better reinflection results. The results on a blind test set using our best system show improvements over previous work, with a 3.6% absolute increase in M2 F0.5. ...
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Keyword:
Natural Language Processing
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URL: https://underline.io/lecture/6593-gender-aware-reinflectionusing-linguistically-enhanced-neural-models https://dx.doi.org/10.48448/6nn5-6v05
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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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