10 citations · 40 across the 29 of their papers we have counts for
48 papers
StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes
Awantee Deshpande, Dana Ruiter, Marius Mosbach +1
Analyzing ethnic or religious bias is important for improving fairness, accountability, and transparency of natural language processing models. However, many techniques rely on hum…
Exploiting Social Media Content for Self-Supervised Style Transfer
Dana Ruiter, Thomas Kleinbauer, Cristina España-Bonet +2
Recent research on style transfer takes inspiration from unsupervised neural machine translation (UNMT), learning from large amounts of non-parallel data by exploiting cycle consis…
Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online
Dana Ruiter, Liane Reiners, Ashwin Geet D'Sa +6
Even though hate speech (HS) online has been an important object of research in the last decade, most HS-related corpora over-simplify the phenomenon of hate by attempting to label…
MCSE: Multimodal Contrastive Learning of Sentence Embeddings
Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani +2
Learning semantically meaningful sentence embeddings is an open problem in natural language processing. In this work, we propose a sentence embedding learning approach that exploit…
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification
Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai +2
Incorrect labels in training data occur when human annotators make mistakes or when the data is generated via weak or distant supervision. It has been shown that complex noise-hand…
Knowledge Base Index Compression via Dimensionality and Precision Reduction
Vilém Zouhar, Marius Mosbach, Miaoran Zhang +1
Recently neural network based approaches to knowledge-intensive NLP tasks, such as question answering, started to rely heavily on the combination of neural retrievers and readers.…