Pavithra Rajendran
Pavithra Rajendran
KPMG UK
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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
252016
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
72018
Assessing weight of opinion by aggregating coalitions of arguments
P Rajendran, D Bollegala, S Parsons
Computational Models of Argument 287, 431-438, 2016
52016
Identifying argument based relation properties in opinions
P Rajendran, D Bollegala, S Parsons
PACLING, page to appear, 2017
22017
Aggregating and Analysing Opinions for Argument-based Relations
P Rajendran
PQDT-Global, 2019
12019
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
12018
A Meta-embedding-based Ensemble Approach for ICD Coding Prediction
P Rajendran, A Zenonos, J Spear, R Pope
arXiv preprint arXiv:2102.13622, 2021
2021
A Pilot Study on Argument Simplification in Stance-Based Opinions
P Rajendran, D Bollegala, S Parsons
International Conference of the Pacific Association for Computational …, 2019
2019
Identifying argument-based relation properties
P Rajendran, D Bollegala, S Parsons
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Artículos 1–9