| Cross-lingual zero pronoun resolution A Aloraini, M Poesio Proceedings of the Twelfth Language Resources and Evaluation Conference, 90-98, 2020 | 22 | 2020 |
| Computational models of anaphora M Poesio, J Yu, S Paun, A Aloraini, P Lu, J Haber, D Cokal Annual Review of Linguistics 9 (1), 561-587, 2023 | 17 | 2023 |
| Neural coreference resolution for Arabic A Aloraini, J Yu, M Poesio arXiv preprint arXiv:2011.00286, 2020 | 16 | 2020 |
| Anaphoric zero pronoun identification: A multilingual approach A Aloraini, M Poesio Proceedings of the Third Workshop on Computational Models of Reference …, 2020 | 7 | 2020 |
| The universal anaphora scorer 2.0 J Yu, M Novák, A Aloraini, NS Moosavi, S Paun, S Pradhan, M Poesio Proceedings of the 15th International Conference on Computational Semantics …, 2023 | 6 | 2023 |
| Sentiment Analysis of Low-Resource Language Literature Using Data Processing and Deep Learning. A Ali, M Khan, K Khan, RU Khan, A Aloraini Computers, Materials & Continua 79 (1), 2024 | 5 | 2024 |
| Data augmentation methods for anaphoric zero pronouns A Aloraini, M Poesio arXiv preprint arXiv:2109.09825, 2021 | 4 | 2021 |
| Coreference annotation of an arabic corpus using a virtual world game WA Aliady, A Aloraini, C Madge, J Yu, R Bartle, M Poesio Proceedings of the Seventh Arabic Natural Language Processing Workshop …, 2022 | 3 | 2022 |
| Joint coreference resolution for zeros and non-zeros in Arabic A Aloraini, S Pradhan, M Poesio arXiv preprint arXiv:2210.12169, 2022 | 3 | 2022 |
| The QMUL/HRBDT contribution to the nadi arabic dialect identification shared task A Aloraini, M Poesio, A Alhelbawy Association for Computational Linguistics, 2020 | 3 | 2020 |
| Recognition of inscribed cursive Pashtu numeral through optimized deep learning S Syed, K Khan, M Khan, RU Khan, A Aloraini PeerJ Computer Science 10, e2124, 2024 | | 2024 |
| Saraiki language characters dataset (SLCD) MA Khan, K Khan, A Aloraini, RU Khan Data in Brief 54, 110473, 2024 | | 2024 |
| Coreference Resolution for Arabic A Aloraini | | 2022 |
Massimo PoesioProfessor of Comp. Linguistics, Queen Mary University / Professor of NLP, University of Utrecht在 qmul.ac.uk 的电子邮件经过验证
