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ORCID4th WANLP@ACL 2019: Florence, Italy
- Wassim El-Hajj, Lamia Hadrich Belguith, Fethi Bougares, Walid Magdy, Imed Zitouni:
Proceedings of the Fourth Arabic Natural Language Processing Workshop, WANLP@ACL 2019, Florence, Italy, August 1, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-32-1 - Marimuthu Kalimuthu, Michael Barz, Daniel Sonntag:
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings. 1-10 - Ahmed Y. Tawfik, Mahitab Emam, Khaled Essam, Robert Nabil, Hany Hassan:
Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation. 11-17 - Mohammed Attia, Younes Samih, Ali El-Kahky, Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish:
POS Tagging for Improving Code-Switching Identification in Arabic. 18-29 - Hala Mulki
, Hatem Haddad, Mourad Gridach, Ismail Babaoglu:
Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic Dialects. 30-39 - Raki Lachraf, El Moatez Billah Nagoudi, Youcef Ayachi, Ahmed Abdelali, Didier Schwab:
ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model. 40-48 - Sawsan Alqahtani, Hanan Aldarmaki, Mona T. Diab:
Homograph Disambiguation through Selective Diacritic Restoration. 49-59 - Liyuan Liu, Jingbo Shang, Jiawei Han:
Arabic Named Entity Recognition: What Works and What's Next. 60-67 - Obeida ElJundi, Wissam Antoun, Nour El Droubi, Hazem M. Hajj, Wassim El-Hajj, Khaled B. Shaban:
hULMonA: The Universal Language Model in Arabic. 68-77 - Wafia Adouane, Jean-Philippe Bernardy, Simon Dobnik:
Neural Models for Detecting Binary Semantic Textual Similarity for Algerian and MSA. 78-87 - Ahmed El-Kishky, Xingyu Fu, Aseel Addawood, Nahil A. Sobh, Clare R. Voss, Jiawei Han:
Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings. 88-96 - Taghreed Alqaisi, Simon O'Keefe:
En-Ar Bilingual Word Embeddings without Word Alignment: Factors Effects. 97-107 - Hussein Mozannar, Elie Maamary, Karl El Hajal, Hazem M. Hajj:
Neural Arabic Question Answering. 108-118 - Mohammed Attia, Ali El-Kahky:
Segmentation for Domain Adaptation in Arabic. 119-129 - Chadi Helwe, Shady Elbassuoni, Ayman Al Zaatari, Wassim El-Hajj:
Assessing Arabic Weblog Credibility via Deep Co-learning. 130-136 - Faisal Al-Shargi, Shahd Dibas, Sakhar B. Alkhereyf, Reem Faraj, Basma Abdulkareem, Sane Yagi, Ouafaa Kacha, Nizar Habash, Owen Rambow:
Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan. 137-147 - Majdi Sawalha, Faisal Alshargi, Abdallah AlShdaifat, Sane Yagi, Mohammad A. Qudah:
Construction and Annotation of the Jordan Comprehensive Contemporary Arabic Corpus (JCCA). 148-157 - Ilknur Durgar El-Kahlout, Emre Bektas, Naime Seyma Erdem, Hamza Kaya:
Translating Between Morphologically Rich Languages: An Arabic-to-Turkish Machine Translation System. 158-166 - Alaa Khaddaj, Hazem M. Hajj, Wassim El-Hajj:
Improved Generalization of Arabic Text Classifiers. 167-174 - Imad Zeroual, Dirk Goldhahn, Thomas Eckart, Abdelhak Lakhouaja:
OSIAN: Open Source International Arabic News Corpus - Preparation and Integration into the CLARIN-infrastructure. 175-182 - Bushra Algotiml, AbdelRahim A. Elmadany, Walid Magdy:
Arabic Tweet-Act: Speech Act Recognition for Arabic Asynchronous Conversations. 183-191 - Ibrahim Abu Farha, Walid Magdy:
Mazajak: An Online Arabic Sentiment Analyser. 192-198 - Houda Bouamor, Sabit Hassan, Nizar Habash:
The MADAR Shared Task on Arabic Fine-Grained Dialect Identification. 199-207 - Pavel Pribán, Stephen Taylor:
ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects. 208-213 - Sohaila Eltanbouly, May Bashendy, Tamer Elsayed:
Simple But Not Naïve: Fine-Grained Arabic Dialect Identification Using Only N-Grams. 214-218 - Saméh Kchaou, Fethi Bougares, Lamia Hadrich Belguith:
LIUM-MIRACL Participation in the MADAR Arabic Dialect Identification Shared Task. 219-223 - Youssef Fares, Zeyad El-Zanaty, Kareem Abdel-Salam, Muhammed Ezzeldin, Aliaa Mohamed, Karim El-Awaad, Marwan Torki:
Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features. 224-228 - Dhaou Ghoul, Gaël Lejeune:
MICHAEL: Mining Character-level Patterns for Arabic Dialect Identification (MADAR Challenge). 229-233 - Pruthwik Mishra, Vandan Mujadia:
Arabic Dialect Identification for Travel and Twitter Text. 234-238 - Bashar Talafha, Wael Farhan, Ahmed Altakrouri, Hussein T. Al-Natsheh:
Mawdoo3 AI at MADAR Shared Task: Arabic Tweet Dialect Identification. 239-243 - Ahmad Ragab, Haitham Seelawi, Mostafa Samir, Abdelrahman Mattar, Hesham Al-Bataineh, Mohammad Zaghloul, Ahmad Mustafa, Bashar Talafha, Abed Alhakim Freihat, Hussein T. Al-Natsheh:
Mawdoo3 AI at MADAR Shared Task: Arabic Fine-Grained Dialect Identification with Ensemble Learning. 244-248 - Gael de Francony, Victor Guichard, Praveen Joshi, Haithem Afli, Abdessalam Bouchekif:
Hierarchical Deep Learning for Arabic Dialect Identification. 249-253 - Kathrein Abu Kwaik, Motaz Saad:
ArbDialectID at MADAR Shared Task 1: Language Modelling and Ensemble Learning for Fine Grained Arabic Dialect Identification. 254-258 - Karima Meftouh, Karima Abidi, Salima Harrat, Kamel Smaïli:
The SMarT Classifier for Arabic Fine-Grained Dialect Identification. 259-263 - Tom Lippincott, Pamela Shapiro, Kevin Duh, Paul McNamee:
JHU System Description for the MADAR Arabic Dialect Identification Shared Task. 264-268 - Mourad Abbas, Mohamed Lichouri, Abed Alhakim Freihat:
ST MADAR 2019 Shared Task: Arabic Fine-Grained Dialect Identification. 269-273 - Mohamed Elaraby, Ahmed H. Zahran:
A Character Level Convolutional BiLSTM for Arabic Dialect Identification. 274-278 - Chiyu Zhang, Muhammad Abdul-Mageed:
No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects. 279-284 - Bashar Talafha, Ali Fadel, Mahmoud Al-Ayyoub, Yaser Jararweh, Mohammad Al-Smadi, Patrick Juola:
Team JUST at the MADAR Shared Task on Arabic Fine-Grained Dialect Identification. 285-289 - Younes Samih, Hamdy Mubarak, Ahmed Abdelali, Mohammed Attia, Mohamed Eldesouki, Kareem Darwish:
QC-GO Submission for MADAR Shared Task: Arabic Fine-Grained Dialect Identification. 290-294
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