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Come hither or go away? Recognising pre-electoral coalition signals in the news ...
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Come hither or go away? Recognising pre-electoral coalition signals in the news
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Unsupervised stance detection for arguments from consequences
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Knowledge graphs meet moral values
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Abstract:
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. Moral Foundations Theory (MFT) has become one of the most adopted theories of morality partly due to its accompanying lexicon, the Moral Foundation Dictionary (MFD), which offers a base for computationally dealing with morality. In this work, we exploit the MFD in a novel direction by investigating how well moral values are captured by KGs. We explore three widely used KGs, and provide concept-level analogues for the MFD. Furthermore, we propose several Personalized PageRank variations in order to score all the concepts and entities in the KGs with respect to their relevance to the different moral values. Our promising results help to progress the operationalization of morality in both NLP and KG communities.
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Keyword:
004 Informatik
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URL: https://madoc.bib.uni-mannheim.de/57763/1/2020.starsem-1.8.pdf https://madoc.bib.uni-mannheim.de/57763 https://madoc.bib.uni-mannheim.de/57763/
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Exploiting Background Knowledge for Argumentative Relation Classification
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Kobbe, Jonathan; Frank, Anette; Opitz, Juri. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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Exploiting Background Knowledge for Argumentative Relation Classification ...
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Exploiting background knowledge for argumentative relation classification
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A spreading activation framework for tracking conceptual complexity of texts
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Word embeddings-based uncertainty detection in financial disclosures
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Automatic detection of uncertain statements in the financial domain
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Sentence alignment methods for improving text simplification systems
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Cross-Evaluation of entity linking and disambiguation systems for clinical text annotation
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