Argumentation mining in short text: detecting argumentative information in real-life settings

Lytos, Anastasios ORCID: 0000-0002-2049-0006 (2021) Argumentation mining in short text: detecting argumentative information in real-life settings. PhD thesis, University of Sheffield.

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Keywords: natural language processing (NLP); argumentation mining; machine learning; social media; Twitter; NordStream; political debate; BERT; transfer knowledge; transformers; rule-based; hybrid;
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Computer Science (Sheffield)
The University of Sheffield > Faculty of Science (Sheffield) > Computer Science (Sheffield)

The University of Sheffield > Faculty of Engineering (Sheffield)
Identification Number/EthosID (e.g. uk.bl.ethos.123456): uk.bl.ethos.858776
Depositing User: Mr Anastasios Lytos
Date Deposited: 12 Jul 2022 15:16
Last Modified: 01 Sep 2022 09:53

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