1 |
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Language Models in Sociological Research: An Application to Classifying Large Administrative Data and Measuring Religiosity ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects ...
|
|
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
12 |
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
A Panoramic Survey of Natural Language Processing in the Arab World ...
|
|
Darwish, Kareem; Habash, Nizar; Abbas, Mourad; Al-Khalifa, Hend; Al-Natsheh, Huseein T.; El-Beltagy, Samhaa R.; Bouamor, Houda; Bouzoubaa, Karim; Cavalli-Sforza, Violetta; El-Hajj, Wassim; Jarrar, Mustafa; Mubarak, Hamdy. - : arXiv, 2020
|
|
Abstract:
The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design. This distinguishes natural languages such as Arabic and Japanese from artificially constructed languages such as Esperanto or Python. Natural language processing (NLP) is the sub-field of artificial intelligence (AI) focused on modeling natural languages to build applications such as speech recognition and synthesis, machine translation, optical character recognition (OCR), sentiment analysis (SA), question answering, dialogue systems, etc. NLP is a highly interdisciplinary field with connections to computer science, linguistics, cognitive science, psychology, mathematics and others. Some of the earliest AI applications were in NLP (e.g., machine translation); and the last decade (2010-2020) in particular has witnessed an incredible increase in quality, matched with a rise in public awareness, use, and expectations of what may have seemed like science fiction in ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://dx.doi.org/10.48550/arxiv.2011.12631 https://arxiv.org/abs/2011.12631
|
|
BASE
|
|
Hide details
|
|
17 |
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Gender-Aware Reinflectionusing Linguistically Enhanced Neural Models ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
The Paradigm Discovery Problem
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
|
|