263 citations
- Center for Astrophysics Harvard & SmithsonianUS4 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Khalifa University of Science and TechnologyAE4 papers
- Queen's University BelfastGB4 papers
- CEA DAM Île-de-FranceFR3 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- Concordia UniversityCA3 papers
- Institut des Sciences Moléculaires d'OrsayFR3 papers
- Synchrotron SOLEILFR3 papers
- University of Prince Edward IslandCA3 papers
- Advanced Light Source2 papers
- Argonne National LaboratoryUS2 papers
6 papers · 1 filter
Summary Explorer: Visualizing the State of the Art in Text Summarization
Shahbaz Syed, Tariq Yousef, Khalid Al-Khatib +2
This paper introduces Summary Explorer, a new tool to support the manual inspection of text summarization systems by compiling the outputs of 55~state-of-the-art single document su…
A Benchmark Arabic Dataset for Commonsense Explanation
Saja AL-Tawalbeh, Mohammad AL-Smadi
Language comprehension and commonsense knowledge validation by machines are challenging tasks that are still under researched and evaluated for Arabic text. In this paper, we prese…
Is this sentence valid? An Arabic Dataset for Commonsense Validation
Saja Tawalbeh, Mohammad AL-Smadi
The commonsense understanding and validation remains a challenging task in the field of natural language understanding. Therefore, several research papers have been published that…
Predicting Helpfulness of Online Reviews
Abdalraheem Alsmadi, Shadi AlZu'bi, Mahmoud Al-Ayyoub +1
E-commerce dominates a large part of the world's economy with many websites dedicated to online selling products. The vast majority of e-commerce websites provide their customers w…
The Inception Team at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
Hana Al-Theiabat, Aisha Al-Sadi
This paper describes our method for the task of Semantic Question Similarity in Arabic in the workshop on NLP Solutions for Under-Resourced Languages (NSURL). The aim is to build a…
Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation
Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh +1
In this work, we present several deep learning models for the automatic diacritization of Arabic text. Our models are built using two main approaches, viz. Feed-Forward Neural Netw…