activity
20182020
most citedMulti-Dialect Arabic BERT for Country-Level Dialect Identification

46 citations · 46 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2020

SPARTA: Speaker Profiling for ARabic TAlk

Wael Farhan, Muhy Eddin Za'ter, Qusai Abu Obaidah +3

This paper proposes a novel approach to an automatic estimation of three speaker traits from Arabic speech: gender, emotion, and dialect. After showing promising results on differe…

cs.CL202046 cited

Multi-Dialect Arabic BERT for Country-Level Dialect Identification

Bashar Talafha, Mohammad Ali, Muhy Eddin Za'ter +5

Arabic dialect identification is a complex problem for a number of inherent properties of the language itself. In this paper, we present the experiments conducted, and the models d…

cs.CL2019

Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions

Hesham Al-Bataineh, Wael Farhan, Ahmad Mustafa +2

Question semantic similarity is a challenging and active research problem that is very useful in many NLP applications, such as detecting duplicate questions in community question…

cs.CL2019

NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic

Haitham Seelawi, Ahmad Mustafa, Hesham Al-Bataineh +2

Question semantic similarity (Q2Q) is a challenging task that is very useful in many NLP applications, such as detecting duplicate questions and question answering systems. In this…

cs.DL2018

Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach

Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach +2

In the scientific digital libraries, some papers from different research communities can be described by community-dependent keywords even if they share a semantically similar topi…