NLPExplorer

WANLP - 2021

Total Papers:- 54

Total Papers accross all years:- 167

Total Citations :- 0

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A Contextual Word Embedding for Arabic Sarcasm Detection with Random Forests

WANLP 2021 Shared-Task: Towards Irony and Sentiment Detection in Arabic Tweets using Multi-headed-LSTM-CNN-GRU and MaRBERT

Reem Abdel-Salam |

Arabic Offensive Language on Twitter: Analysis and Experiments

iCompass at Shared Task on Sarcasm and Sentiment Detection in Arabic

Machine Learning-Based Model for Sentiment and Sarcasm Detection

Hamada Nayel | Eslam Amer | Aya Allam | Hanya Abdallah |

Benchmarking Transformer-based Language Models for Arabic Sentiment and Sarcasm Detection

Ibrahim Abu Farha | Walid Magdy |

BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification

ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks

Fatima Haouari | Maram Hasanain | Reem Suwaileh | Tamer Elsayed |

Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis

Abdullah I. Alharbi | Mark Lee |

ALUE: Arabic Language Understanding Evaluation

Sarcasm and Sentiment Detection in Arabic: investigating the interest of character-level features

Dhaou Ghoul | Gaël Lejeune |

Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic

Fatemah Husain | Ozlem Uzuner |

Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures

Minh Van Nguyen | Thien Huu Nguyen |

AraFacts: The First Large Arabic Dataset of Naturally Occurring Claims

Zien Sheikh Ali | Watheq Mansour | Tamer Elsayed | Abdulaziz Al‐Ali |