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Found 5 papers, 1 papers with code
Unsupervised stance detection for arguments from consequences
To address this limitation, we propose a topic independent approach that focuses on a frequently encountered class of arguments, specifically, on arguments from consequences.
Knowledge Graphs meet Moral Values
Operationalizing morality is crucial for understanding multiple aspects of society that have moral values at their core {--} such as riots, mobilizing movements, public debates, etc.
CoCo: A Tool for Automatically Assessing Conceptual Complexity of Texts
Traditional text complexity assessment usually takes into account only syntactic and lexical text complexity.
When Shallow is Good Enough: Automatic Assessment of Conceptual Text Complexity using Shallow Semantic Features
We find that the shallow features achieve state-of-the-art results on both tasks, significantly outperforming performances of the deep semantic features on the five-level classification task.
A Spreading Activation Framework for Tracking Conceptual Complexity of Texts
We propose an unsupervised approach for assessing conceptual complexity of texts, based on spreading activation.
