3 citations · 3 across the 3 of their papers we have counts for
4 papers
BFCAI at SemEval-2022 Task 6: Multi-Layer Perceptron for Sarcasm Detection in Arabic Texts
Nsrin Ashraf, Fathy Elkazaz, Mohamed Taha +2
This paper describes the systems submitted to iSarcasm shared task. The aim of iSarcasm is to identify the sarcastic contents in Arabic and English text. Our team participated in i…
NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets
Hamada A. Nayel
In this paper, we present the system submitted to "SemEval-2020 Task 12". The proposed system aims at automatically identify the Offensive Language in Arabic Tweets. A machine lear…
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition
Hamada A. Nayel, Shashrekha H. L
In recent years, Deep Learning (DL) models are becoming important due to their demonstrated success at overcoming complex learning problems. DL models have been applied effectively…
Improving Multi-Word Entity Recognition for Biomedical Texts
Hamada A. Nayel, H. L. Shashirekha, Hiroyuki Shindo +1
Biomedical Named Entity Recognition (BioNER) is a crucial step for analyzing Biomedical texts, which aims at extracting biomedical named entities from a given text. Different super…