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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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I’ve got a construction looks funny – representing and recovering non-standard constructions in UD
Ruppenhofer, Josef [Verfasser]; Rehbein, Ines [Verfasser]; de Marneffe, Marie-Catherine [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020
DNB Subject Category Language
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4
Improving Sentence Boundary Detection for Spoken Language Transcripts
Rehbein, Ines [Verfasser]; Ruppenhofer, Josef [Verfasser]; Schmidt, Thomas [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020
DNB Subject Category Language
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5
I’ve got a construction looks funny – representing and recovering non-standard constructions in UD
Ruppenhofer, Josef [Verfasser]; Rehbein, Ines [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2020
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6
Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies
Sanguinetti, Manuela [Verfasser]; Bosco, Cristina [Verfasser]; Cassidy, Lauren [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020
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7
Fine-grained Named Entity Annotations for German Biographic Interviews
Ruppenhofer, Josef [Verfasser]; Rehbein, Ines [Verfasser]; Flinz, Carolina [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020
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8
Treebanking user-generated content: A proposal for a unified representation in universal dependencies
Sanguinetti, Manuela [Verfasser]; Bosco, Cristina [Verfasser]; Cassidy, Lauren [Verfasser]. - Mannheim : Universitätsbibliothek Mannheim, 2020
DNB Subject Category Language
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9
A New Resource for German Causal Language
Blache, Philippe [Herausgeber]; Odijk, Jan [Herausgeber]; Mariani, Joseph [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020
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10
Treebanking user-generated content: a proposal for a unified representation in universal dependencies
In: Sanguinetti, Manuela orcid:0000-0002-0147-2208 , Bosco, Cristina, Cassidy, Lauren, Çetinoglu, Özlem, Cignarella, Alessandra Teresa orcid:0000-0002-4409-6679 , Lynn, Teresa, Rehbein, Ines, Ruppenhofer, Josef, Seddah, Djamé and Zeldes, Amir orcid:0000-0001-8016-6753 (2020) Treebanking user-generated content: a proposal for a unified representation in universal dependencies. In: 12th Language Resources and Evaluation Conference. (LREC 2020), 11-16 May 2020, Marseille, France. (2020)
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11
Treebanking user-generated content: a proposal for a unified representation in universal dependencies
In: Sanguinetti, Manuela orcid:0000-0002-0147-2208 , Bosco, Cristina, Cassidy, Lauren, Çetinoglu, Özlem, Cignarella, Alessandra Teresa orcid:0000-0002-4409-6679 , Lynn, Teresa, Rehbein, Ines, Ruppenhofer, Josef, Seddah, Djamé and Zeldes, Amir orcid:0000-0001-8016-6753 (2020) Treebanking user-generated content: a proposal for a unified representation in universal dependencies. In: 12th Language Resources and Evaluation Conference. (LREC 2020), 11-16 May 2020, Marseille, France. (Virtual). (2020)
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12
Exploring Morality in Argumentation ...
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13
I got a construction looks funny - Representing and recovering non-standard constructions in UD ...
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14
Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations ...
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15
Parsers Know Best: German PP Attachment Revisited ...
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16
German causal language annotations and lexicon (verbs, nouns, prepositions) (DE) ...
Rehbein, Ines; Ruppenhofer, Josef. - : heiDATA, 2020
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17
Treebanking user-generated content: A proposal for a unified representation in universal dependencies
Sanguinetti, Manuela; Bosco, Cristina; Cassidy, Lauren. - : ELRA, 2020. : IDS, Bibliothek, 2020
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18
Exploring morality in argumentation
Hulpus, Ioana; Stuckenschmidt, Heiner; Kobbe, Jonathan. - : Association for Computational Linguistics, ACL, 2020
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19
Neural reranking for dependency parsing: An evaluation
Do, Bich-Ngoc; Rehbein, Ines. - : Association for Computational Linguistics, ACL, 2020
Abstract: Recent work has shown that neural rerankers can improve results for dependency parsing over the top k trees produced by a base parser. However, all neural rerankers so far have been evaluated on English and Chinese only, both languages with a configurational word order and poor morphology. In the paper, we re-assess the potential of successful neural reranking models from the literature on English and on two morphologically rich(er) languages, German and Czech. In addition, we introduce a new variation of a discriminative reranker based on graph convolutional networks (GCNs). We show that the GCN not only outperforms previous models on English but is the only model that is able to improve results over the baselines on German and Czech. We explain the differences in reranking performance based on an analysis of a) the gold tree ratio and b) the variety in the k-best lists.
Keyword: 004 Informatik
URL: https://madoc.bib.uni-mannheim.de/55426
https://madoc.bib.uni-mannheim.de/55426/
https://madoc.bib.uni-mannheim.de/55426/1/2020.acl-main.379-1.pdf
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I’ve got a construction looks funny – representing and recovering non-standard constructions in UD
Rehbein, Ines; Ruppenhofer, Josef. - : ACM Digital Library, 2020
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