34 citations · 40 across the 4 of their papers we have counts for
7 papers
PLOD: An Abbreviation Detection Dataset for Scientific Documents
Leonardo Zilio, Hadeel Saadany, Prashant Sharma +2
The detection and extraction of abbreviations from unstructured texts can help to improve the performance of Natural Language Processing tasks, such as machine translation and info…
An Ensemble Approach to Acronym Extraction using Transformers
Prashant Sharma, Hadeel Saadany, Leonardo Zilio +2
Acronyms are abbreviated units of a phrase constructed by using initial components of the phrase in a text. Automatic extraction of acronyms from a text can help various Natural La…
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems
Hadeel Saadany, Constantin Orasan, Emad Mohamed +1
In translating text where sentiment is the main message, human translators give particular attention to sentiment-carrying words. The reason is that an incorrect translation of suc…
BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text
Hadeel Saadany, Constantin Orasan
Social media companies as well as authorities make extensive use of artificial intelligence (AI) tools to monitor postings of hate speech, celebrations of violence or profanity. Si…
Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study
Hadeel Saadany, Constantin Orasan, Rocio Caro Quintana +2
Although emotions are universal concepts, transferring the different shades of emotion from one language to another may not always be straightforward for human translators, let alo…
Fake or Real? A Study of Arabic Satirical Fake News
Hadeel Saadany, Emad Mohamed, Constantin Orasan
One very common type of fake news is satire which comes in a form of a news website or an online platform that parodies reputable real news agencies to create a sarcastic version o…