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61
Predicting modality in financial dialogue
Stuckenschmidt, Heiner; Theil, Christoph Kilian. - : Association for Computational Linguistics, 2020
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62
Exploring morality in argumentation
Hulpus, Ioana; Stuckenschmidt, Heiner; Kobbe, Jonathan; Rehbein, Ines. - : Association for Computational Linguistics, ACL, 2020
Abstract: Sentiment and stance are two important concepts for the analysis of arguments. We propose to add another perspective to the analysis, namely moral sentiment. We argue that moral values are crucial for ideological debates and can thus add useful information for argument mining. In the paper, we present different models for automatically predicting moral sentiment in debates and evaluate them on a manually annotated testset. We then apply our models to investigate how moral values in arguments relate to argument quality, stance and audience reactions.
Keyword: 004 Informatik
URL: https://madoc.bib.uni-mannheim.de/57762
https://madoc.bib.uni-mannheim.de/57762/
https://madoc.bib.uni-mannheim.de/57762/1/2020.argmining-1.4.pdf
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63
Specializing unsupervised pretraining models for word-level semantic similarity
Ponti, Edoardo Maria; Korhonen, Anna; Vulić, Ivan. - : Association for Computational Linguistics, ACL, 2020
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64
Non-linear instance-based cross-lingual mapping for non-isomorphic embedding spaces
Glavaš, Goran; Vulić, Ivan. - : Association for Computational Linguistics, 2020
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65
Classification-based self-learning for weakly supervised bilingual lexicon induction
Vulić, Ivan; Korhonen, Anna; Glavaš, Goran. - : Association for Computational Linguistics, 2020
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66
Neural reranking for dependency parsing: An evaluation
Do, Bich-Ngoc; Rehbein, Ines. - : Association for Computational Linguistics, ACL, 2020
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67
LibKGE – A knowledge graph embedding library for reproducible research
Broscheit, Samuel; Ruffinelli, Daniel; Kochsiek, Adrian. - : Association for Computational Linguistics (ACL), 2020
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68
AraWEAT: Multidimensional analysis of biases in Arabic word embeddings
Lauscher, Anne; Takieddin, Rafik; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2020
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69
Probing pretrained language models for lexical semantics
Vulić, Ivan; Korhonen, Anna; Litschko, Robert. - : Association for Computational Linguistics, 2020
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70
Rezension zu: Michael Beißwenger / Steffen Pappert: Handeln mit Emojis. Grundriss einer Linguistik kleiner Bildzeichen in der WhatsApp-Kommunikation. Duisburg: UVRR 2019
Bröcher, Leonie. - : Hartung, Verlag für Gesprächsforschung, 2020
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71
Common sense or world knowledge? Investigating adapter-based knowledge injection into pretrained transformers
Lauscher, Anne; Majewska, Olga; Ribeiro, Leonardo F. R.. - : Association for Computational Linguistics, 2020
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72
Wiktionary matcher results for OAEI 2020
Portisch, Jan; Paulheim, Heiko. - : RWTH, 2020
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73
XHate-999: analyzing and detecting abusive language across domains and languages
Glavaš, Goran; Karan, Mladen; Vulić, Ivan. - : Association for Computational Linguistics, 2020
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74
Wiktionary Matcher
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75
Knowledge graphs meet moral values
Hulpus, Ioana; Kobbe, Jonathan; Stuckenschmidt, Heiner. - : Association for Computational Linguistics, 2020
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76
On the limitations of cross-lingual encoders as exposed by reference-free machine translation evaluation
Zhao, Wei; Glavaš, Goran; Peyrard, Maxime. - : Association for Computational Linguistics, 2020
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77
Parsers know best: German PP attachment revisited
Do, Bich-Ngoc; Rehbein, Ines. - : ACM Digital Library, 2020
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78
XCOPA: A multilingual dataset for causal commonsense reasoning
Ponti, Edoardo Maria; Majewska, Olga; Liu, Qianchu. - : Association for Computational Linguistics, 2020
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79
Improving bilingual lexicon induction with unsupervised post-processing of monolingual word vector spaces
Glavaš, Goran; Korhonen, Anna; Vulić, Ivan. - : Association for Computational Linguistics, 2020
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80
Challenges of linking organizational information in open government data to knowledge graphs
Portisch, Jan; Fallatah, Omaima; Neumaier, Sebastian. - : Springer International Publishing, 2020
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