“Der Frank Sinatra der Wettervorhersage”: Cross-Lingual Vossian Antonomasia Extraction
“Der Frank Sinatra der Wettervorhersage”: Cross-Lingual Vossian Antonomasia Extraction
We present a cross-lingual approach for the extraction of Vossian Antonomasia, a stylistic device especially popular in newspaper articles. We evaluate a zero-shot transfer learning approach and two approaches that use machinetranslated training and test data. We show that our proposed models achieve strong results on all test datasets in the target language. As annotated data is sparse, especially in the target language, we generate additional test data to evaluate our models and conclude with a robustness study on real-world data.
Test data, Training data, Stylistic devices, Extraction, Natural language processing systems, Transfer learning, Cross-lingual approaches, Robustness studies, Dewey Decimal Classification::000 | Allgemeines, Wissenschaft::000 | Informatik, Wissen, Systeme::004 | Informatik, Real-world, Target language, Konferenzschrift, Zero-shot learning, Cross-lingual, Learning approach
Test data, Training data, Stylistic devices, Extraction, Natural language processing systems, Transfer learning, Cross-lingual approaches, Robustness studies, Dewey Decimal Classification::000 | Allgemeines, Wissenschaft::000 | Informatik, Wissen, Systeme::004 | Informatik, Real-world, Target language, Konferenzschrift, Zero-shot learning, Cross-lingual, Learning approach
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!