October 16, 2019

8:45 : Registration

9:15-9:30 : Opening session

9:30-10:30 Keynote1 –  Dr Mona Diab (George Washington University of) Cross lingual solutions for low resource scenarios. The case of Arabic dialects

10:30-11:00 Coffee break

11:00-12:40 Arabic dialects and sentiment analysis

11:00-11:20: Fatimah Alqahtani and Mark Sanderson, Generating a Lexicon for the Hijazi dialect in Arabic. Presentation.

11:25-11:45: Habiba Dahmani, Hussein Hussein, Burkhard Meyer-Sickendiek and Oliver Jokisch, Natural Arabic Language Resources for Emotion Recognition in Algerian Dialect. Presentation.

11:50-12:10: Amira Barhoumi, Nathalie Camelin, Chafik Aloulou, Yannick Estève and Lamia Hadrich Belguith, An Empirical Evaluation of Arabic-specific Embeddings for Sentiment Analysis. Presentation.

12:15-12:35: Karima Abidi, Dominique Fohr, Denis Jouvet, David Langlois, Odile Mella and Kamel Smaili,  A Fine-grained Multilingual Analysis Based on the Appraisal  Theory: Application to Arabic and English Videos. Presentation.

12:45-14:00 Lunch break

14:00-16:05 Neural networks for text and speech

14:00-14:20: Mohamed Amine Menacer, Carlos-Emiliano González-Gallardo, Karima Abidi, Dominique Fohr, Denis Jouvet, David Langlois, Odile Mella, Fatiha Sadat, Juan-Manuel Torres-Moreno and Kamel Smaili, Extractive Text-Based Summarization of Arabic videos: Issues, Approaches and Evaluations. Presentation.

14:25-14:45: Salima Harrat, Karima Meftouh, Karima Abidi and Kamel Smaili, Automatic identification methods on a corpus of twenty five fine-grained Arabic dialects. Presentation.

14:50-15:10: Saoussen Mathlouthi Bouzid and Chiraz Ben Othmane Zribi, Aggregation of Word Embedding and Q-learning for Arabic Anaphora Resolution.

15:15-15:35: Chatrine Qwaider, Motaz Saad, Stergios Chatzikyriakidis and Simon Dobnik, LSTM-CNN Deep Learning model for Sentiment Analysis of Dialectal Arabic.

15:40-16:00: Mohamed Amine Jerbi, Hadhemi Achour and Emna Souissi, Sentiment Analysis of Code-Switched Tunisian Dialect: Exploring RNN-based Techniques.

16:05-16:20 Coffee break

16:20-17:35 Modeling Modern Standard Arabic

16:20-16:40: Mohamed Amine Cheragui and Said Moulay Lakhdar, Building an extractive Arabic Text Summarization using a hybrid approach.

16:45-17:05: Driss Namly and Karim Bouzoubaa, On Arabic Stop-words: A Comprehensive List and a Dedicated Morphological Analyzer. Presentation.

17:10-17:30: Kahlaoui Mohamed-Habib, Negation in Standard Arabic Revisited: A Corpus-based Metaoperational Approach. Presentation

19:30- : Reception at Excelsior restaurant

October 17, 2019

9:30-10:30 Keynote2 –  Dr Albert Gatt (University of Malta) Maltese at the Digital Crossroads – Language Technology and Resources for the Maltese Language. Presentation.

10:30-11:00 Coffee break

11:00-12:40 Modeling Modern Standard Arabic

11:00-11:20: Abdelhay Zoizou, Arsalane Zarghili and Ilham Chaker, Skew correction and text line extraction of Arabic Historical documents. 

11:25-11:45: Maha Hajja, Ahmad Yahya and Adnan Yahya, Authorship Attribution of Arabic Articles. Presentation.

11:50-12:10: Mourad Loukam, Djamila Hammouche, Freha Mezzoudj and Fatma Zohra Belkredim, Keyphrase Extraction From Modern Standard Arabic Texts Based on Association Rules.

12:15-12:35: Samia Ben Ismail, Sirine Boukédi and Kais Haddar, HPSG grammar supporting Arabic preference nouns and its TDL specification

12:45-14:00 Lunch break

14:00-16:05 Resources: analysis, disambiguation and evaluation

14:00-14:20 Mohammed Reqqass, Abdelhak Lakhouaja and Mohamad Bebah, “AlkhalilDWS”: An Arabic dictionary writing system rich in lexical resources. Presentation.

14:25-14:45 Hatem Haddad, Hala Mulki and Asma Oueslati, T-HSAB: A Tunisian Hate Speech and Abusive Dataset.

14:50-15:10 Ridouane Tachicart and Karim Bouzoubaa, Towards Automatic Normalization of the Moroccan Dialectal Arabic User Generated Text. Presentation.

15:15-15:35 Haytham Salhi, Radi Jarrar and Adnan Yahya, Arabic Search Results Disambiguation: A Set of Benchmarks

15:40-16:00 Maysoon Alkhair, Karima Meftouh, Nouha Othman and Kamel Smaïli, An Arabic Corpus of Fake News: Collection, Analysis and Classification

16:05-16:20 Closing session