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1
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization ...
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2
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task ...
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3
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models ...
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4
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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5
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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6
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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7
Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity ...
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8
Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity ...
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9
Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects ...
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10
Automatic Error Type Annotation for Arabic ...
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11
Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations
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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12
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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13
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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14
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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15
A Panoramic Survey of Natural Language Processing in the Arab World ...
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16
The Paradigm Discovery Problem ...
Erdmann, Alexander; Elsner, Micha; Wu, Shijie. - : ETH Zurich, 2020
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17
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
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18
An Online Readability Leveled Arabic Thesaurus ...
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19
Gender-Aware Reinflectionusing Linguistically Enhanced Neural Models ...
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20
The Paradigm Discovery Problem
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
Abstract: This work treats the paradigm discovery problem (PDP), the task of learning an inflectional morphological system from unannotated sentences. We formalize the PDP and develop evaluation metrics for judging systems. Using currently available resources, we construct datasets for the task. We also devise a heuristic benchmark for the PDP and report empirical results on five diverse languages. Our benchmark system first makes use of word embeddings and string similarity to cluster forms by cell and by paradigm. Then, we bootstrap a neural transducer on top of the clustered data to predict words to realize the empty paradigm slots. An error analysis of our system suggests clustering by cell across different inflection classes is the most pressing challenge for future work.
URL: https://hdl.handle.net/20.500.11850/462310
https://doi.org/10.3929/ethz-b-000462310
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