34 citations · 51 across the 6 of their papers we have counts for
12 papers
Biographical: A Semi-Supervised Relation Extraction Dataset
Alistair Plum, Tharindu Ranasinghe, Spencer Jones +2
Extracting biographical information from online documents is a popular research topic among the information extraction (IE) community. Various natural language processing (NLP) tec…
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…
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…
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers
Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov
Most studies on word-level Quality Estimation (QE) of machine translation focus on language-specific models. The obvious disadvantages of these approaches are the need for labelled…