Congratulations to Dr Lawrence

Many congratulations to John Lawrence, who has successfully defended his PhD thesis on Explainable Argument Mining. He was examined by Prof. Manfred Stede from Potsdam University, Prof. Rob Gaizauskas from The University of Sheffield, and Prof. Manuel Trucco from Dundee. John is staying in the group as a permanent lecturer.

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We’re delighted that our survey of the field of Argument Mining is just out with Computational Linguistics. It provides the most up-to-date review currently accessible and is available now online. Abstract. Argument Mining is the automatic identification and extraction of the structure of inference and reasoning expressed as arguments presented in natural language. Understanding argumentative structure makes it […]

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We’re excited to announce that we’ve been successful in a recent Defence and Security Accelerator programme run by the Defence Science & Technology Laboratory. The way that an individual engages in dialogue is as unique to them as their fingerprint. So can we automatically identify individuals from their discourse behaviour? This is the idea now […]

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OVA provides a drag-and-drop interface for analysing textual arguments. It is reminiscent of a streamlined Araucaria, except that it is designed to work with web pages, and in a browser rather than requiring local installation. It also natively handles AIF structures, and supports real-time collaborative analysis. The public release of OVA2 is now available, and a user […]

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