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ORCIDHadeel Saadany
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2020 – today
- 2024
[c10]Hadeel Saadany, Constantin Orasan, Sophie Walker, Catherine Breslin:
Linking Judgement Text to Court Hearing Videos: UK Supreme Court as a Case Study. LREC/COLING 2024: 10598-10609- [i11]Jaleh Delfani, Constantin Orasan, Hadeel Saadany, Ozlem Temizoz
, Eleanor Taylor-Stilgoe, Diptesh Kanojia, Sabine Braun, Barbara Schouten:
Google Translate Error Analysis for Mental Healthcare Information: Evaluating Accuracy, Comprehensibility, and Implications for Multilingual Healthcare Communication. CoRR abs/2402.04023 (2024) - [i10]Hadeel Saadany, Ashraf Tantawy, Constantin Orasan:
Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study. CoRR abs/2405.11668 (2024) - 2023
- [j1]Hadeel Saadany, Emad Mohamed, Raheem Sarwar:
Towards a Better Understanding of Tarajem: Creating Topological Networks for Arabic biographical Dictionaries. J. Data Min. Digit. Humanit. 2023 (2023) - [c9]Hadeel Saadany, Constantin Orasan, Rocio Caro Quintana, Félix do Carmo, Leonardo Zilio:
Analysing Mistranslation of Emotions in Multilingual Tweets by Online MT Tools. EAMT 2023: 275-284 - [c8]Hadeel Saadany, Constantin Orasan:
Automatic Linking of Judgements to UK Supreme Court Hearings. EMNLP (Industry Track) 2023: 492-500 - [c7]Hadeel Saadany, Catherine Breslin, Constantin Orasan, Sophie Walker:
Better Transcription of UK Supreme Court Hearings. AI4AJ@ICAIL 2023 - 2022
- [c6]Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan:
PLOD: An Abbreviation Detection Dataset for Scientific Documents. LREC 2022: 680-688 - [c5]Hadeel Saadany, Constantin Orasan, Emad Mohamed, Ashraf Tantawy:
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT. WANLP@EMNLP 2022: 214-224 - [c4]Shenbin Qian, Constantin Orasan, Diptesh Kanojia, Hadeel Saadany, Félix do Carmo:
SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion. WASSA@ACL 2022: 271-275 - [i9]Prashant Sharma, Hadeel Saadany, Leonardo Zilio, Diptesh Kanojia, Constantin Orasan:
An Ensemble Approach to Acronym Extraction using Transformers. CoRR abs/2201.03026 (2022) - [i8]Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan:
PLOD: An Abbreviation Detection Dataset for Scientific Documents. CoRR abs/2204.12061 (2022) - [i7]Hadeel Saadany, Constantin Orasan, Emad Mohamed, Ashraf Tantawy:
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT. CoRR abs/2210.11899 (2022) - [i6]Hadeel Saadany, Constantin Orasan, Catherine Breslin:
Better Transcription of UK Supreme Court Hearings. CoRR abs/2211.17094 (2022) - 2021
- [c3]Hadeel Saadany, Constantin Orasan, Emad Mohamed, Ashraf Tantavy:
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems. RANLP 2021: 1217-1226 - [i5]Hadeel Saadany, Constantin Orasan, Rocio Caro Quintana, Félix do Carmo, Leonardo Zilio:
Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study. CoRR abs/2106.10719 (2021) - [i4]Hadeel Saadany, Constantin Orasan:
BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text. CoRR abs/2109.14250 (2021) - [i3]Hadeel Saadany, Constantin Orasan, Emad Mohamed, Ashraf Tantavy:
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems. CoRR abs/2109.14895 (2021) - 2020
- [c2]Hadeel Saadany, Constantin Orasan:
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews. WANLP@COLING 2020: 24-37 - [i2]Hadeel Saadany, Constantin Orasan:
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews. CoRR abs/2010.13814 (2020) - [i1]Hadeel Saadany, Emad Mohamed, Constantin Orasan:
Fake or Real? A Study of Arabic Satirical Fake News. CoRR abs/2011.00452 (2020)
2010 – 2019
- 2019
- [c1]Tharindu Ranasinghe, Hadeel Saadany, Alistair Plum, Salim Mandhari, Emad Mohamed, Constantin Orasan, Ruslan Mitkov:
RGCL at IDAT: Deep Learning models for Irony Detection in Arabic Language. FIRE (Working Notes) 2019: 416-425
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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