1 code implementation • COLING (WANLP) 2020 • Tarek Naous, Christian Hokayem, Hazem Hajj
However, the dataset is not large enough to develop very complex encoder-decoder models.
no code implementations • NeurIPS Workshop AI4Scien 2021 • Sirine Taleb, Aram Yeretzian, Rabih A. Jabr, Hazem Hajj
Designing energy-efficient buildings is an essential necessity since buildings are responsible for a significant proportion of energy consumption globally.
1 code implementation • EACL (WANLP) 2021 • Tarek Naous, Wissam Antoun, Reem A. Mahmoud, Hazem Hajj
The shortcomings of NLG encoder-decoder models are primarily due to the lack of Arabic datasets suitable to train NLG models such as conversational agents.
Empathetic Response Generation Natural Language Understanding +3
1 code implementation • EACL (WANLP) 2021 • Wissam Antoun, Fady Baly, Hazem Hajj
In this paper, we develop the first advanced Arabic language generation model, AraGPT2, trained from scratch on a large Arabic corpus of internet text and news articles.
1 code implementation • EACL (WANLP) 2021 • Wissam Antoun, Fady Baly, Hazem Hajj
Advances in English language representation enabled a more sample-efficient pre-training task by Efficiently Learning an Encoder that Classifies Token Replacements Accurately (ELECTRA).
no code implementations • LREC 2020 • Dj, Marc ji, Fady Baly, Wissam Antoun, Hazem Hajj
The shared task on Offensive Language Detection at the OSACT4 has aimed at achieving state of art profane language detection methods for Arabic social media.
3 code implementations • LREC 2020 • Wissam Antoun, Fady Baly, Hazem Hajj
Recently, with the surge of transformers based models, language-specific BERT based models have proven to be very efficient at language understanding, provided they are pre-trained on a very large corpus.
Ranked #1 on Sentiment Analysis on AJGT
no code implementations • RANLP 2019 • Taha Tobaili, Fern, Miriam ez, Harith Alani, Sanaa Sharafeddine, Hazem Hajj, Goran Glava{\v{s}}
As such, texts written in Arabizi are often disregarded in sentiment analysis tasks for Arabic.
no code implementations • WS 2019 • Alaa Khaddaj, Hazem Hajj, Wassim El-Hajj
While transfer learning for text has been very active in the English language, progress in Arabic has been slow, including the use of Domain Adaptation (DA).
1 code implementation • WS 2019 • Obeida ElJundi, Wissam Antoun, Nour El Droubi, Hazem Hajj, Wassim El-Hajj, Khaled Shaban
Experiment results show that the developed hULMonA and multi-lingual ULM are able to generalize well to multiple Arabic data sets and achieve new state of the art results in Arabic Sentiment Analysis for some of the tested sets.
1 code implementation • WS 2019 • Hussein Mozannar, Karl El Hajal, Elie Maamary, Hazem Hajj
Our system for open domain question answering in Arabic (SOQAL) is based on two components: (1) a document retriever using a hierarchical TF-IDF approach and (2) a neural reading comprehension model using the pre-trained bi-directional transformer BERT.
2 code implementations • 25 May 2019 • Ramy Baly, Alaa Khaddaj, Hazem Hajj, Wassim El-Hajj, Khaled Bashir Shaban
Sentiment analysis is a highly subjective and challenging task.
no code implementations • SEMEVAL 2018 • Gilbert Badaro, Hussein Jundi, Hazem Hajj, Wassim El-Hajj
We also evaluate EmoWordNet in an emotion recognition task using SemEval 2007 news headlines dataset and we achieve an improvement compared to the use of DepecheMood.
no code implementations • SEMEVAL 2018 • Gilbert Badaro, Obeida El Jundi, Alaa Khaddaj, Alaa Maarouf, Raslan Kain, Hazem Hajj, Wassim El-Hajj
Moreover, several features were evaluated along with different classification and regression techniques.
no code implementations • SEMEVAL 2017 • Ramy Baly, Gilbert Badaro, Ali Hamdi, Rawan Moukalled, Rita Aoun, Georges El-Khoury, Ahmad Al Sallab, Hazem Hajj, Nizar Habash, Khaled Shaban, Wassim El-Hajj
While sentiment analysis in English has achieved significant progress, it remains a challenging task in Arabic given the rich morphology of the language.
no code implementations • WS 2017 • Ramy Baly, Gilbert Badaro, Georges El-Khoury, Rawan Moukalled, Rita Aoun, Hazem Hajj, Wassim El-Hajj, Nizar Habash, Khaled Shaban
Opinion mining in Arabic is a challenging task given the rich morphology of the language.
no code implementations • WS 2017 • Rim El Ballouli, Wassim El-Hajj, Gh, Ahmad our, Shady Elbassuoni, Hazem Hajj, Khaled Shaban
In this paper, we perform an extensive analysis on credibility of Arabic content on Twitter.
no code implementations • LREC 2016 • Ayman Al Zaatari, Rim El Ballouli, Shady ELbassouni, Wassim El-Hajj, Hazem Hajj, Khaled Shaban, Nizar Habash, Emad Yahya
We focus on Arabic due to the recent popularity of blogs and microblogs in the Arab World and due to the lack of any such public corpora in Arabic.