Papers by Ali Fadel
Pretrained Ensemble Learning for Fine-Grained Propaganda Detection (D19-50)
Copied to clipboard
| Challenge: | Propaganda detection is a reallife challenge that can affect how people understand news . |
| Approach: | They propose to use a manually annotated dataset to tackle the propaganda detection on sentence level classification task of NLP4IF 2019 workshop co-located with EMNLP-IJCNLP 2019 conference. |
| Outcome: | The proposed model is ranked in the first place with 68.8312 F1-score on the development dataset and in the sixth place with 61.3990 F1 score on the testing dataset. |
Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation (D19-52)
Copied to clipboard
| Challenge: | a number of Arabic text diacritizers use diacritics to convey information about meaning of a word . Arabic text to speech (TTS) requires a complex process to determine the correct diacritical for each character . |
| Approach: | They propose to use Arabic diacritization to enhance machine translation models . they propose to build automatic Arabic text diacritics using two approaches . |
| Outcome: | The proposed models are either better or on par with other models, which require language-dependent post-processing steps, unlike ours. |