NLPExplorer

WANLP - 2021

Total Papers:- 54

Total Papers accross all years:- 167

Total Citations :- 0

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Machine Learning-Based Approach for Arabic Dialect Identification

Hamada Nayel | Ahmed Hassan | Mahmoud Sobhi | Ahmed El-Sawy |

UL2C: Mapping User Locations to Countries on Arabic Twitter

Hamdy Mubarak | Sabit Hassan |

Arabic Compact Language Modelling for Resource Limited Devices

Zaid Alyafeai | Irfan Ahmad |

What does BERT Learn from Arabic Machine Reading Comprehension Datasets?

Eman Albilali | Nora Altwairesh | Manar Hosny |

Preprocessing Solutions for Detection of Sarcasm and Sentiment for Arabic

Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language

Hala Mulki | Bilal Ghanem |

Sarcasm and Sentiment Detection In Arabic Tweets Using BERT-based Models and Data Augmentation

Abeer Abuzayed | Hend Al-Khalifa |

DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic

Bingyan Song | Chunguang Pan | Shengguang Wang | Zhipeng Luo |

Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based Features

Kamel Gaanoun | Imade Benelallam |

ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic Tweets

Laila Bashmal | Daliyah AlZeer |

Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment Lexicons

Shatha Ali A. Hakami | Robert Hendley | Phillip Smith |

Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features

Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERT

Anshul Wadhawan |

The IDC System for Sentiment Classification and Sarcasm Detection in Arabic

Abraham Israeli | Yotam Nahum | Shai Fine | Kfir Bar |

Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language