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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 31 1 Come hither or go away? Recognising pre-electoral coalition signals in the news ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Adendorf, Anna; Bahnsen, Oke. - : Underline Science Inc., 2021 BASE Show details 2 Come hither or go away? Recognising pre-electoral coalition signals in the news Rehbein, Ines; Ponzetto, Simone Paolo; Adendorf, Anna; Bahnsen, Oke; Stoetzer, Lukas F.; Stuckenschmidt, Heiner. - : Association for Computational Linguistics, 2021 Abstract: In this paper, we introduce the task of political coalition signal prediction from text, that is, the task of recognizing from the news coverage leading up to an election the(un)willingness of political parties to form a government coalition. We decompose our problem into two related, but distinct tasks: (i) predicting whether a reported statement from a politician or a journalist refers to a potential coalition and (ii) predicting the polarity of the signal — namely, whether the speaker is in favour of or against the coalition. For this, we explore the benefits of multi-task learning and investigate which setup and task formulation is best suited for each subtask. We evaluate our approach, based on hand-coded newspaper articles, covering elections in three countries (Ireland, Germany, Austria) and two languages (English, German). Our results show that the multi-task learning approach can further improve results over a strong monolingual transfer learning baseline. Keyword: 004 Informatik URL: https://aclanthology.org/2021.emnlp-main.615 https://madoc.bib.uni-mannheim.de/60910/ BASE Hide details 3 Predicting Modality in Financial Dialogue ... The 28th International Conference on Computational Linguistics 2020; Stuckenschmidt, Heiner; Theil, Kilian. - : Underline Science Inc., 2020 BASE Show details 4 Exploring Morality in Argumentation ... The 28th International Conference on Computational Linguistics 2020; Hulpuș, Ioana; Kobbe, Jonathan. - : Underline Science Inc., 2020 BASE Show details 5 Knowledge Graphs meet Moral Values ... The 28th International Conference on Computational Linguistics 2020; Hirst, Graeme; Hulpuș, Ioana. - : Underline Science Inc., 2020 BASE Show details 6 Unsupervised stance detection for arguments from consequences Kobbe, Jonathan; Stuckenschmidt, Heiner; Hulpus, Ioana. - : Association for Computational Linguistics, 2020 BASE Show details 7 Predicting modality in financial dialogue Stuckenschmidt, Heiner; Theil, Christoph Kilian. - : Association for Computational Linguistics, 2020 BASE Show details 8 Exploring morality in argumentation Hulpus, Ioana; Stuckenschmidt, Heiner; Kobbe, Jonathan. - : Association for Computational Linguistics, ACL, 2020 BASE Show details 9 Knowledge graphs meet moral values Hulpus, Ioana; Kobbe, Jonathan; Stuckenschmidt, Heiner. - : Association for Computational Linguistics, 2020 BASE Show details 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 Show details 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 BASE Show details 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 BASE Show details 13 Exploiting background knowledge for argumentative relation classification Kobbe, Jonathan; Opitz, Juri; Becker, Maria. - : Leibniz-Zentrum für Informatik, 2019 BASE Show details 14 A spreading activation framework for tracking conceptual complexity of texts Hulpus, Ioana; Štajner, Sanja; Stuckenschmidt, Heiner. - : Association for Computational Linguistics, ACL, 2019 BASE Show details 15 Word embeddings-based uncertainty detection in financial disclosures Stuckenschmidt, Heiner; Theil, Christoph Kilian; Štajner, Sanja. - : Association for Computational Linguistics, 2018 BASE Show details 16 Automatic detection of uncertain statements in the financial domain Theil, Christoph Kilian; Štajner, Sanja; Stuckenschmidt, Heiner. - : Springer International Publishing, 2018 BASE Show details 17 Sentence alignment methods for improving text simplification systems Rosso, Paolo; Štajner, Sanja; Franco-Salvador, Mark. - : Association for Computational Linguistics, 2017 BASE Show details 18 Automatic assessment of absolute sentence complexity Štajner, Sanja; Ponzetto, Simone Paolo; Stuckenschmidt, Heiner. - : International Joint Conferences on Artificial Intelligence, 2017 BASE Show details 19 Automatic detection of speculation in policy statements Štajner, Sanja; Baerg, Nicole; Ponzetto, Simone Paolo. - : ACM, 2016 BASE Show details 20 Cross-Evaluation of entity linking and disambiguation systems for clinical text annotation Thorne, Camilo; Faralli, Stefano; Stuckenschmidt, Heiner. - : ACM, 2016 BASE Show details Page: 1 2

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