output
20152024
most citedHomograph Disambiguation Through Selective Diacritic Restoration

20 citations

11 papers

cs.CL20249 cited

SSCAE -- Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator

Javad Rafiei Asl, Mohammad H. Rafiei, Manar Alohaly +1

Machine learning models are vulnerable to maliciously crafted Adversarial Examples (AEs). Training a machine learning model with AEs improves its robustness and stability against a…

hep-ph20247 cited

Multiplicity dependence of the freezeout parameters in high energy hadron-hadron collisions

Muhammad Ajaz, Majid Shehzad, Muhammad Waqas +7

We examined the transverse momentum spectra of various identified particles, across different multiplicity classes in proton-proton collisions at a center-of-mass energy of $\sqrt{…

cs.IR202311 cited

Stopping Methods for Technology Assisted Reviews based on Point Processes

Mark Stevenson, Reem Bin-Hezam

Technology Assisted Review (TAR), which aims to reduce the effort required to screen collections of documents for relevance, is used to develop systematic reviews of medical eviden…

math.CO20233 cited

On Sharp Bounds of Local Fractional Metric Dimension for Certain Symmetrical Algebraic Structure Graphs

Amal S. Alali, Shahbaz Ali, Muhammad Adnan +1

The smallest set of vertices needed to differentiate or categorize every other vertex in a graph is referred to as the graph's metric dimension. Finding the class of graphs for a p…

cs.CL201913 cited

Efficient Convolutional Neural Networks for Diacritic Restoration

Sawsan Alqahtani, Ajay Mishra, Mona Diab

Diacritic restoration has gained importance with the growing need for machines to understand written texts. The task is typically modeled as a sequence labeling problem and current…

cs.CL201920 cited

Homograph Disambiguation Through Selective Diacritic Restoration

Sawsan Alqahtani, Hanan Aldarmaki, Mona Diab

Lexical ambiguity, a challenging phenomenon in all natural languages, is particularly prevalent for languages with diacritics that tend to be omitted in writing, such as Arabic. Om…