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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
Rehbein, Ines; Ponzetto, Simone Paolo; Adendorf, Anna. - : Association for Computational Linguistics, 2021
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Predicting Modality in Financial Dialogue ...
Abstract: In this paper, we perform modality prediction in financial dialogue. To this end, we introduce a new dataset and develop a binary classifier to detect strong or weak modal answers depending on surface, lexical, and semantic representations of the preceding question and financial features. To do so, we contrast different algorithms, feature categories, and fusion methods. Perhaps counter-intuitively, our results indicate that the strongest features for the given task are financial uncertainty measures such as market and individual firm risk. ...
Keyword: Business Economics; Intelligent System; Natural Language Processing
URL: https://dx.doi.org/10.48448/eg22-yb63
https://underline.io/lecture/6523-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
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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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