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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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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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Abstract:
We propose an unsupervised approach for assessing conceptual complexity of texts, based on spreading activation. Using DBpedia knowledge graph as a proxy to long-term memory, mentioned concepts become activated and trigger further activation as the text is sequentially traversed. Drawing inspiration from psycholinguistic theories of reading comprehension, we model memory processes such as semantic priming, sentence wrap-up, and forgetting. We show that our models capture various aspects of conceptual text complexity and significantly outperform current state of the art.
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Keyword:
004 Informatik
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URL: https://madoc.bib.uni-mannheim.de/51558/ https://madoc.bib.uni-mannheim.de/51558/1/hulpus2019sa.pdf https://madoc.bib.uni-mannheim.de/51558
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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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