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6th WANLP 2021: Kyiv, Ukraine (Virtual)
- Nizar Habash, Houda Bouamor, Hazem M. Hajj, Walid Magdy, Wajdi Zaghouani, Fethi Bougares, Nadi Tomeh, Ibrahim Abu Farha, Samia Touileb:
Proceedings of the Sixth Arabic Natural Language Processing Workshop, WANLP 2021, Kyiv, Ukraine (Virtual), April 9, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-09-1 - Ahmed Abdelali, Hamdy Mubarak, Younes Samih, Sabit Hassan, Kareem Darwish:
QADI: Arabic Dialect Identification in the Wild. 1-10 - Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman, AbdelRahim A. Elmadany, El Moatez Billah Nagoudi, Yorgo Zoughby, Ahmad Shaher, Iskander Gaba, Ahmed Helal, Mohammed Elrazzaz:
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings. 11-20 - Ibrahim Abu Farha, Walid Magdy:
Benchmarking Transformer-based Language Models for Arabic Sentiment and Sarcasm Detection. 21-31 - Eman Albilali, Nora Al-Twairesh, Manar Ibrahim Hosny:
What does BERT Learn from Arabic Machine Reading Comprehension Datasets? 32-41 - Alaa Alharbi, Mark Lee:
Kawarith: an Arabic Twitter Corpus for Crisis Events. 42-52 - Zaid Alyafeai, Irfan Ahmad:
Arabic Compact Language Modelling for Resource Limited Devices. 53-59 - Shatha Ali A Hakami, Robert J. Hendley, Phillip Smith:
Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment Lexicons. 60-71 - Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed:
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection. 72-81 - Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed:
ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks. 82-91 - Go Inoue, Bashar Alhafni, Nurpeiis Baimukan, Houda Bouamor, Nizar Habash:
The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models. 92-104 - Nouran Khallaf, Serge Sharoff:
Automatic Difficulty Classification of Arabic Sentences. 105-114 - Muhammad Majadly, Tomer Sagi:
Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts. 115-125 - Hamdy Mubarak, Ammar Rashed, Kareem Darwish, Younes Samih, Ahmed Abdelali:
Arabic Offensive Language on Twitter: Analysis and Experiments. 126-135 - Hamdy Mubarak, Sabit Hassan, Ahmed Abdelali:
Adult Content Detection on Arabic Twitter: Analysis and Experiments. 136-144 - Hamdy Mubarak, Sabit Hassan:
UL2C: Mapping User Locations to Countries on Arabic Twitter. 145-153 - Hala Mulki, Bilal Ghanem:
Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language. 154-163 - Tarek Naous, Wissam Antoun, Reem A. Mahmoud, Hazem M. Hajj:
Empathetic BERT2BERT Conversational Model: Learning Arabic Language Generation with Little Data. 164-172 - Haitham Seelawi, Ibraheem Tuffaha, Mahmoud Gzawi, Wael Farhan, Bashar Talafha, Riham Badawi, Zyad Sober, Oday Al-Dweik, Abed Alhakim Freihat, Hussein T. Al-Natsheh:
ALUE: Arabic Language Understanding Evaluation. 173-184 - Abdullah Alsaleh, Eric Atwell, Abdulrahman Altahhan:
Quranic Verses Semantic Relatedness Using AraBERT. 185-190 - Wissam Antoun, Fady Baly, Hazem M. Hajj:
AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding. 191-195 - Wissam Antoun, Fady Baly, Hazem M. Hajj:
AraGPT2: Pre-Trained Transformer for Arabic Language Generation. 196-207 - Al-Ahmadgaid Asaad:
QuranTree.jl: A Julia Package for Quranic Arabic Corpus. 208-212 - Fadhl Eryani, Nizar Habash:
Automatic Romanization of Arabic Bibliographic Records. 213-218 - Saher Esmeir:
SERAG: Semantic Entity Retrieval from Arabic Knowledge Graphs. 219-225 - Chayma Fourati, Hatem Haddad, Abir Messaoudi, Moez BenHajhmida, Aymen Ben Elhaj Mabrouk, Malek Naski:
Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment Analysis. 226-230 - Zien Sheikh Ali, Watheq Mansour, Tamer Elsayed, Abdulaziz Alali:
AraFacts: The First Large Arabic Dataset of Naturally Occurring Claims. 231-236 - Minh Van Nguyen, Thien Huu Nguyen:
Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures. 237-243 - Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim A. Elmadany, Houda Bouamor, Nizar Habash:
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task. 244-259 - Badr AlKhamissi, Mohamed Gabr, Muhammad N. ElNokrashy, Khaled Essam:
Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task. 260-264 - Maha J. Althobaiti:
Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning Models. 265-270 - Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, Nabil El Mamoun, Ismail Berrada, Ahmed Khoumsi:
BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification. 271-275 - Elsayed Issa, Mohammed AlShakhori, Reda Al-Bahrani, Gus Hahn-Powell:
Country-level Arabic Dialect Identification using RNNs with and without Linguistic Features. 276-281 - Mohamed Lichouri, Mourad Abbas, Khaled Lounnas, Besma Benaziz, Aicha Zitouni:
Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features. 282-286 - Hamada Nayel, Ahmed Hassan, Mahmoud Sobhi, Ahmed El-Sawy:
Machine Learning-Based Approach for Arabic Dialect Identification. 287-290 - Anshul Wadhawan:
Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERT. 291-295 - Ibrahim Abu Farha, Wajdi Zaghouani, Walid Magdy:
Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic. 296-305 - Reem Abdel-Salam:
WANLP 2021 Shared-Task: Towards Irony and Sentiment Detection in Arabic Tweets using Multi-headed-LSTM-CNN-GRU and MaRBERT. 306-311 - Abeer Abuzayed, Hend S. Al-Khalifa:
Sarcasm and Sentiment Detection In Arabic Tweets Using BERT-based Models and Data Augmentation. 312-317 - Abdullah I. Alharbi, Mark Lee:
Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis. 318-322 - Laila Bashmal, Daliyah Hesham Alzeer:
ArSarcasm Shared Task: An Ensemble BERT Model for SarcasmDetection in Arabic Tweets. 323-328 - Dhaou Ghoul, Gaël Lejeune:
Sarcasm and Sentiment Detection in Arabic: investigating the interest of character-level features. 329-333 - Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, Nabil El Mamoun, Ismail Berrada, Ahmed Khoumsi:
Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language. 334-339 - Hazem Elgabry, Shimaa Attia, Ahmed Abdel-Rahman, Ahmed Abdel-Ate, Sandra Girgis:
A Contextual Word Embedding for Arabic Sarcasm Detection with Random Forests. 340-344 - Dalya Faraj, Malak Abdullah:
SarcasmDet at Sarcasm Detection Task 2021 in Arabic using AraBERT Pretrained Model. 345-350 - Kamel Gaanoun, Imade Benelallam:
Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based Features. 351-356 - Amey Hengle, Atharva Kshirsagar, Shaily Desai, Manisha Marathe:
Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification. 357-363 - Fatemah Husain, Özlem Uzuner:
Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic. 364-369 - Abraham Israeli, Yotam Nahum, Shai Fine, Kfir Bar:
The IDC System for Sentiment Classification and Sarcasm Detection in Arabic. 370-375 - Mohamed Lichouri, Mourad Abbas, Besma Benaziz, Aicha Zitouni, Khaled Lounnas:
Preprocessing Solutions for Detection of Sarcasm and Sentiment for Arabic. 376-380 - Malek Naski, Abir Messaoudi, Hatem Haddad, Moez BenHajhmida, Chayma Fourati, Aymen Ben Elhaj Mabrouk:
iCompass at Shared Task on Sarcasm and Sentiment Detection in Arabic. 381-385 - Hamada Nayel, Eslam Amer, Aya Allam, Hanya Abdallah:
Machine Learning-Based Model for Sentiment and Sarcasm Detection. 386-389 - Bingyan Song, Chunguang Pan, Shengguang Wang, Zhipeng Luo:
DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic. 390-394 - Anshul Wadhawan:
AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets. 395-400
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last updated on 2024-11-15 19:19 CET by the dblp team
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