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Found 7 papers, 2 papers with code
SPARTA: Speaker Profiling for ARabic TAlk
LSTM and CNN networks were implemented using raw features: MFCC and MEL, where FCNN was explored on the pre-trained vectors while varying the hyper-parameters of these networks to obtain the best results for each dataset and task.
Multi-Dialect Arabic BERT for Country-Level Dialect Identification
Our winning solution itself came in the form of an ensemble of different training iterations of our pre-trained BERT model, which achieved a micro-averaged F1-score of 26. 78% on the subtask at hand.
Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions
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 answering platforms such as Quora.
NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic
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.
Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach
The approach starts by learning from a standard scientific categorization and a sample of topic tagged articles to find semantically relevant articles and enrich its metadata accordingly.
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise Features
This paper describes the model UdL we proposed to solve the semantic textual similarity task of SemEval 2017 workshop.
