--- title: "Hussein T. Al-Natsheh — author profile and papers in our library" description: "Hussein T. Al-Natsheh: 2 papers on Elamur Research (2019–2020) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/hussein-t-al-natsheh/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hussein-t-al-natsheh/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hussein T. Al-Natsheh # Hussein T. Al-Natsheh Hussein T. Al-Natsheh has 2 papers in our library, in 2019–2020, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/); often with [Wael Farhan](https://md.research.elamur.ai/free/en/authors/wael-farhan/), [Muhy Eddin Za'ter](https://md.research.elamur.ai/free/en/authors/muhy-eddin-za-ter/). 2 papers in our library · 2019–2020 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hussein-t-al-natsheh/#papers) · 🔗 Cited 2 times in our library · [⭐ Paper Stars ranking: #5781](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5781) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Hussein+T.+Al-Natsheh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hussein+T.+Al-Natsheh) · [dblp](https://dblp.org/search?q=Hussein+T.+Al-Natsheh) · [ACL Anthology](https://aclanthology.org/search/?q=Hussein+T.+Al-Natsheh) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 1 Research subjects and languages the work is about.[Semitic languages · 2 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) ## Works by year ### 2020s [**2020** 1 paper Hussein T. Al-Natsheh's papers of 2020](https://md.research.elamur.ai/free/en/papers/farhan-2020-sparta-speaker-profiling-arabic-talk/) ### 2010s [**2019** 1 paper Hussein T. Al-Natsheh's papers of 2019](https://md.research.elamur.ai/free/en/papers/al-bataineh-2019-deep-contextualized-pairwise-semantic-similarity/) ## Papers The most cited first (OpenAlex and our library). 1. **[Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions](https://md.research.elamur.ai/free/en/papers/al-bataineh-2019-deep-contextualized-pairwise-semantic-similarity/)** *(2019 · 16 citations)* The paper addresses question-to-question (Q2Q) semantic similarity for Arabic. Two questions count as equivalent when they would receive the same answer. The task is hard because Arabic has little labelled Q2Q data, a rich morphology, and many dialects that differ from Modern Standard Arabic (MSA). 2. **[SPARTA: Speaker Profiling for ARabic TAlk](https://md.research.elamur.ai/free/en/papers/farhan-2020-sparta-speaker-profiling-arabic-talk/)** *(2020)* The paper addresses speaker profiling from Arabic audio. Its goal is to infer three traits of the person talking: gender, emotional tone and dialect. Arabic speech resources are scarce, so the authors pooled six publicly obtainable corpora. They cleaned and re-segmented the data and published fixed train/dev/test… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Wael Farhan](https://md.research.elamur.ai/free/en/authors/wael-farhan/) ×2 - [Muhy Eddin Za'ter](https://md.research.elamur.ai/free/en/authors/muhy-eddin-za-ter/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Proceedings - International Conference on Tools with Artificial Intelligence, TAI](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/): [Proceedings - International Conference on Tools with Artificial Intelligence, TAI 2019](https://md.research.elamur.ai/free/en/venues/proceedings-international-conference-on-tools-with-artificial-intelligence-tai/2019/) ## Cited by Papers of our library cite their works 2 times (of the 141,840 papers whose bibliographies we read). Updated 24 October 2026