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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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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
DNB Subject Category Language
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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 ...
Abstract: In the paper, we revisit the PP attachment problem which has been identified as one of the major sources for parser errors and discuss shortcomings of recent work. In particular, we show that using gold information for the extraction of attachment candidates as well as a missing comparison of the system's output to the output of a full syntactic parser leads to an overly optimistic assessment of the results. We address these issues by presenting a realistic evaluation of the potential of different PP attachment systems, using fully predicted information as system input. We compare our results against the output of a strong neural parser and show that the full parsing approach is superior to modeling PP attachment disambiguation as a separate task. ...
Keyword: Computer and Information Science; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/6208-parsers-know-best-german-pp-attachment-revisited
https://dx.doi.org/10.48448/nytj-y627
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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
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20
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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