13 citations · 24 across the 8 of their papers we have counts for
22 papers
Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases
Tobias Walter, Celina Kirschner, Steffen Eger +3
We analyze bias in historical corpora as encoded in diachronic distributional semantic models by focusing on two specific forms of bias, namely a political (i.e., anti-communism) a…
Large-scale Taxonomy Induction Using Entity and Word Embeddings
Petar Ristoski, Stefano Faralli, Simone Paolo Ponzetto +1
Taxonomies are an important ingredient of knowledge organization, and serve as a backbone for more sophisticated knowledge representations in intelligent systems, such as formal on…
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces
Niklas Friedrich, Anne Lauscher, Simone Paolo Ponzetto +1
Recent research efforts in NLP have demonstrated that distributional word vector spaces often encode stereotypical human biases, such as racism and sexism. With word representation…
FakeFlow: Fake News Detection by Modeling the Flow of Affective Information
Bilal Ghanem, Simone Paolo Ponzetto, Paolo Rosso +1
Fake news articles often stir the readers' attention by means of emotional appeals that arouse their feelings. Unlike in short news texts, authors of longer articles can exploit su…
Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval
Robert Litschko, Ivan Vulić, Simone Paolo Ponzetto +1
Pretrained multilingual text encoders based on neural Transformer architectures, such as multilingual BERT (mBERT) and XLM, have achieved strong performance on a myriad of language…
Self-Supervised Learning for Visual Summary Identification in Scientific Publications
Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto +2
Providing visual summaries of scientific publications can increase information access for readers and thereby help deal with the exponential growth in the number of scientific publ…