| Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews P Rajendran, D Bollegala, S Parsons Proceedings of the Third Workshop on Argument Mining (ArgMining2016), 31-39, 2016 | 46 | 2016 |
| Is Something Better than Nothing? Automatically Predicting Stance-based Arguments using Deep Learning and Small Labelled Dataset. P Rajendran, D Bollegala, SD Parsons Proceedings of the 16th Annual Conference of the North American Chapter of …, 2018 | 9 | 2018 |
| Assessing weight of opinion by aggregating coalitions of arguments P Rajendran, D Bollegala, S Parsons Computational Models of Argument, 431-438, 2016 | 6 | 2016 |
| Real-world learnings for digital health industry–NHS collaboration: life sciences vision in action R Pope, A Zenonos, W Bryant, A Spiridou, D Key, S Patel, J Robinson, ... Future Healthcare Journal 11 (3), 100168, 2024 | 4 | 2024 |
| A meta-embedding-based ensemble approach for ICD coding prediction P Rajendran, A Zenonos, J Spear, R Pope arXiv preprint arXiv:2102.13622, 2021 | 4 | 2021 |
| Aggregating and Analysing Opinions for Argument-based Relations P Rajendran PQDT-Global, 2019 | 2 | 2019 |
| Identifying argument based relation properties in opinions P Rajendran, D Bollegala, S Parsons PACLING, page to appear, 2017 | 2 | 2017 |
| Embed wisely: An ensemble approach to predict ICD coding P Rajendran, A Zenonos, J Spear, R Pope Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 1 | 2021 |
| Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions. P Rajendran, D Bollegala, S Parsons Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 1 | 2018 |
| 95 Proof of concept for an AI-powered pipeline in paediatric radiology L Rigny, P Rajendran, S Sabu, S Patel, O Arthurs, S Shelmerdine BMJ Paediatrics Open 9 (Suppl 1), 2025 | | 2025 |
| 98 Minimal data, maximum impact: operationalising an artificial intelligence-based report retrieval in paediatric care using small language models JS Kawatra, S Sabu, C Baumgartner, P Rajendran, J Booth, S Patel, ... BMJ Paediatrics Open 9 (Suppl 1), 2025 | | 2025 |
| 99 GRID–DRE’s digital space for building artificial intelligence models and pipelines P Rajendran, S Patel, S Sabu, EJ Sheldon, JS Kawatra, C Baumgartner, ... BMJ Paediatrics Open 9 (Suppl 1), 2025 | | 2025 |
| 97 Generate-then-classify: can large language models generate better summaries of radiology reports for automated report classification? S Sabu, C Baumgartner, P Rajendran, L Turriff, NY Mahathanthila, ... BMJ Paediatrics Open 9 (Suppl 1), 2025 | | 2025 |
| 96 Context beyond simple rules: enhancing the natural language processing pipeline for sentiment and theme prediction in family and friends test feedback C Baumgartner, S Sabu, EJ Sheldon, JS Kawatra, P Rajendran, S Patel, ... BMJ Paediatrics Open 9 (Suppl 1), 2025 | | 2025 |
| GIF: An Automated Genomic Information Finder to Extract Data from Reports P Rajendran, A Zenonos, S Sabu, A Spiridou, HS Goncalves, ... ECAI 2024, 4642-4648, 2024 | | 2024 |
| A Pilot Study on Argument Simplification in Stance-Based Opinions P Rajendran, D Bollegala, S Parsons Computational Linguistics: 16th International Conference of the Pacific …, 2020 | | 2020 |
| Identifying argument-based relation properties P Rajendran, D Bollegala, S Parsons | | |
