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1
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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2
Unsupervised stance detection for arguments from consequences
Kobbe, Jonathan; Stuckenschmidt, Heiner; Hulpus, Ioana. - : Association for Computational Linguistics, 2020
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3
Predicting modality in financial dialogue
Stuckenschmidt, Heiner; Theil, Christoph Kilian. - : Association for Computational Linguistics, 2020
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4
Exploring morality in argumentation
Hulpus, Ioana; Stuckenschmidt, Heiner; Kobbe, Jonathan. - : Association for Computational Linguistics, ACL, 2020
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5
Knowledge graphs meet moral values
Hulpus, Ioana; Kobbe, Jonathan; Stuckenschmidt, Heiner. - : Association for Computational Linguistics, 2020
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6
Exploiting background knowledge for argumentative relation classification
Kobbe, Jonathan; Opitz, Juri; Becker, Maria. - : Leibniz-Zentrum für Informatik, 2019
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7
A spreading activation framework for tracking conceptual complexity of texts
Hulpus, Ioana; Štajner, Sanja; Stuckenschmidt, Heiner. - : Association for Computational Linguistics, ACL, 2019
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8
Word embeddings-based uncertainty detection in financial disclosures
Stuckenschmidt, Heiner; Theil, Christoph Kilian; Štajner, Sanja. - : Association for Computational Linguistics, 2018
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9
Automatic detection of uncertain statements in the financial domain
Theil, Christoph Kilian; Štajner, Sanja; Stuckenschmidt, Heiner. - : Springer International Publishing, 2018
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10
Sentence alignment methods for improving text simplification systems
Rosso, Paolo; Štajner, Sanja; Franco-Salvador, Mark. - : Association for Computational Linguistics, 2017
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11
Automatic assessment of absolute sentence complexity
Štajner, Sanja; Ponzetto, Simone Paolo; Stuckenschmidt, Heiner. - : International Joint Conferences on Artificial Intelligence, 2017
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12
Automatic detection of speculation in policy statements
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13
Cross-Evaluation of entity linking and disambiguation systems for clinical text annotation
Abstract: In this paper we study whether state-of-the-art techniques for multidomain and multilingual entity linking can be ported to the clinical domain. To do so, we compare two known entity linking systems, BabelFly and TagMe, that leverage on Wikipedia and DBpedia, with the standard clinical semantic annotation and disambiguation system, MetaMap, over the SemRep clinical word sense disambiguation gold standard. We show that BabelFly and especially TagMe, while achieving decent precision on clinical annotation, outmatch MetaMap's F1-score.
Keyword: 004 Informatik
URL: https://madoc.bib.uni-mannheim.de/41257/
https://doi.org/10.1145/2993318.2993345
http://publications.wim.uni-mannheim.de/informatik/lski/sem-2016-thorne.pdf
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14
Towards Distributed MCMC Inference in Probabilistic Knowledge Bases
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15
MultiFarm: A Benchmark for Multilingual Ontology Matching
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16
Fine-Grained Sentiment Analysis with Structural Features
Zirn, Cäcilia; Niepert, Mathias; Stuckenschmidt, Heiner. - : Asian Federation of Natural Language Processing, 2011
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17
Semantic Web
Stuckenschmidt, Heiner. - : Oldenbourg, 2009
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18
Domain (Internet)
Stuckenschmidt, Heiner. - : Oldenbourg, 2009
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