Pavithra Rajendran

According to our database, Pavithra Rajendran authored at least 13 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Semi-Automated Annotation Workflow for Paediatric Histopathology Reports Using Small Language Models.

Avish Vijayaraghavan, Jaskaran Singh Kawatra, Sebin Sabu, Ewart Jonny Sheldon, Will Poulett, Alex Eze, Daniel Key, John Booth, Shiren Patel, Jonny Pearson, Dan Schofield, Jonathan Hope, Pavithra Rajendran, Neil Sebire

CoRR, April, 2026

2025

Context Beyond Simple Rules: Deploying an Automated NLP-Based Pipeline for Sentiment and Theme Prediction in Paediatric Healthcare Setting.

Caroline Baumgartner, Ewart Jonny Sheldon, Sebin Sabu, Jaskaran Singh Kawatra, Pavithra Rajendran, Shiren Patel, Mark Harris, Suzanne Collin, Taraben Kapadia

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Investigating General-Purpose Large Language Models for Patient Information Extraction: A Case Study on Real-World Cardiac MRI Reports.

Sebin Sabu, Pavithra Rajendran, Ewart Jonny Sheldon, Alexandros Zenonos, Shiren Patel, Andrew Taylor, Rebecca Pope, Neil Sebire

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

Minimal Data Maximum Impact: Lessons Learned from Real-World Unstructured Data in Paediatric Care.

Jaskaran Singh Kawatra, Sebin Sabu, Pavithra Rajendran, Caroline Baumgartner, Avish Vijayaraghavan, Ewart Jonny Sheldon, John Booth, Neil Sebire, Shiren Patel, Alexandros Zenonos, Rebecca Pope

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

2024

GIF: An Automated Genomic Information Finder to Extract Data from Reports.

Pavithra Rajendran, Alexandros Zenonos, Sebin Sabu, Anastasia Spiridou, Helena Spiridou Goncalves, Nastazja Laskowski, Daniel Key, Shiren Patel, Rebecca Pope, Neil Sebire

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2021

A Meta-embedding-based Ensemble Approach for ICD Coding Prediction.

Pavithra Rajendran, Alexandros Zenonos, Josh Spear, Rebecca Pope

CoRR, 2021

Embed Wisely: An Ensemble Approach to Predict ICD Coding.

Pavithra Rajendran, Alexandros Zenonos, Joshua Spear, Rebecca Pope

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2019

Aggregating and analysing opinions for argument-based relations.

Pavithra Rajendran

PhD thesis, 2019

A Pilot Study on Argument Simplification in Stance-Based Opinions.

Pavithra Rajendran, Danushka Bollegala, Simon Parsons

Proceedings of the Computational Linguistics, 2019

2018

Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset.

Pavithra Rajendran, Danushka Bollegala, Simon Parsons

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions.

Pavithra Rajendran, Danushka Bollegala, Simon Parsons

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

2016

Assessing Weight of Opinion by Aggregating Coalitions of Arguments.

Pavithra Rajendran, Danushka Bollegala, Simon Parsons

Proceedings of the Computational Models of Argument, 2016

Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews.

Pavithra Rajendran, Danushka Bollegala, Simon Parsons

Proceedings of the Third Workshop on Argument Mining, 2016