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Showing 1 to 7 of 7 for “"argument mining"”.
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Explainable Argument Mining
… extraction of meaning from this data. Opinion mining and sentiment analysis provide valuable information on the views expressed in a text, however, they tell us only what opinions are being put forth and not why people hold the opinions they do. This is the task addressed by argument mining. …
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Argument mining with informal text
… led to a wealth of user-generated text, rich in arguments and diverse in nature. However, the complexity of these informal arguments presents a challenge for argument mining. Argument mining is the task of automatically analysing arguments, such that the unstructured information contained in them …
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Language Reasoning by means of Argument Mining and Argument Quality
… including numeracy understanding, opinion mining and financial ocument processing. In this thesis, we are interested in analyzing the arguments of financial experts with the goal of supporting investment decisions. Although various business studies confirm the crucial role of argumentation …
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Representation and learning schemes for argument stance mining.
Argumentation is a key part of human interaction. Used introspectively, it searches for the truth, by laying down argument for and against positions. As a mediation tool, it can be used to search for compromise between multiple human agents. For this purpose, theories of argumentation have been in …
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Mining Ethos In Parliamentary Debate
Argumentation has played a fundamental role in society for centuries from debate in the public sphere to everyday conversation. Most recently computational research into argumentation has focussed upon argument mining, the automatic extraction of reasoning structures from natural language. Although …
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Towards automatic interpretation of A Fortiori arguments
Argument A Fortiori represents a common type of everyday reasoning where the conclusions about the possibility of a certain scenario are drawn based on its comparison to some similar scenario, as in the following mini-argument: “Implementing this law? It has not even been passed yet.” To infer the …
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Structure-aware Deep Learning
… prediction, and specialized and general argumentation mining. The dissertation contains previously published or submitted texts: Wendlinger, L., Hübscher, G., Ekelhart, A., Granitzer, M. (2022). Reconciliation of Mental Concepts with Graph Neural Networks. In: Strauss, C., Cuzzocrea, A., …