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1
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
Rehbein, Ines; Ponzetto, Simone Paolo; Adendorf, Anna. - : Association for Computational Linguistics, 2021
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3
Predicting Modality in Financial Dialogue ...
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4
Exploring Morality in Argumentation ...
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5
Knowledge Graphs meet Moral Values ...
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6
Unsupervised stance detection for arguments from consequences
Kobbe, Jonathan; Stuckenschmidt, Heiner; Hulpus, Ioana. - : Association for Computational Linguistics, 2020
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7
Predicting modality in financial dialogue
Stuckenschmidt, Heiner; Theil, Christoph Kilian. - : Association for Computational Linguistics, 2020
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8
Exploring morality in argumentation
Hulpus, Ioana; Stuckenschmidt, Heiner; Kobbe, Jonathan. - : Association for Computational Linguistics, ACL, 2020
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9
Knowledge graphs meet moral values
Hulpus, Ioana; Kobbe, Jonathan; Stuckenschmidt, Heiner. - : Association for Computational Linguistics, 2020
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10
A spreading activation framework for tracking conceptual complexity of texts
Hulpus, Ioana [Verfasser]; Štajner, Sanja [Verfasser]; Stuckenschmidt, Heiner [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2019
DNB Subject Category Language
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11
Exploiting Background Knowledge for Argumentative Relation Classification
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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12
Exploiting Background Knowledge for Argumentative Relation Classification ...
Kobbe, Jonathan; Opitz, Juri; Becker, Maria. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2019
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13
Exploiting background knowledge for argumentative relation classification
Kobbe, Jonathan; Opitz, Juri; Becker, Maria. - : Leibniz-Zentrum für Informatik, 2019
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14
A spreading activation framework for tracking conceptual complexity of texts
Hulpus, Ioana; Štajner, Sanja; Stuckenschmidt, Heiner. - : Association for Computational Linguistics, ACL, 2019
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.
Keyword: 004 Informatik
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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15
Word embeddings-based uncertainty detection in financial disclosures
Stuckenschmidt, Heiner; Theil, Christoph Kilian; Štajner, Sanja. - : Association for Computational Linguistics, 2018
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16
Automatic detection of uncertain statements in the financial domain
Theil, Christoph Kilian; Štajner, Sanja; Stuckenschmidt, Heiner. - : Springer International Publishing, 2018
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17
Sentence alignment methods for improving text simplification systems
Rosso, Paolo; Štajner, Sanja; Franco-Salvador, Mark. - : Association for Computational Linguistics, 2017
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18
Automatic assessment of absolute sentence complexity
Štajner, Sanja; Ponzetto, Simone Paolo; Stuckenschmidt, Heiner. - : International Joint Conferences on Artificial Intelligence, 2017
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19
Automatic detection of speculation in policy statements
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20
Cross-Evaluation of entity linking and disambiguation systems for clinical text annotation
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