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.
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 • 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 • 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.
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 • WS 2019 • Chadi Helwe, Shady Elbassuoni, Ayman Al Zaatari, Wassim El-Hajj
To overcome the lack of sufficient training data, we propose deep co-learning, a semi-supervised end-to-end deep learning approach to assess the credibility of Arabic blogs.
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.
no code implementations • 25 Nov 2020 • Kareem Darwish, Nizar Habash, Mourad Abbas, Hend Al-Khalifa, Huseein T. Al-Natsheh, Samhaa R. El-Beltagy, Houda Bouamor, Karim Bouzoubaa, Violetta Cavalli-Sforza, Wassim El-Hajj, Mustafa Jarrar, Hamdy Mubarak
The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design.
1 code implementation • 7 Mar 2022 • Massa Baali, Wassim El-Hajj, Ahmed Ali
We propose an unsupervised approach to construct speech-to-speech corpus, aligned on short segment levels, to produce a parallel speech corpus in the source- and target- languages.
1 code implementation • 22 Jan 2023 • Massa Baali, Tomoki Hayashi, Hamdy Mubarak, Soumi Maiti, Shinji Watanabe, Wassim El-Hajj, Ahmed Ali
Several high-resource Text to Speech (TTS) systems currently produce natural, well-established human-like speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2