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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…
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…
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access
Vilém Zouhar, Marius Mosbach, Debanjali Biswas +1
Many NLP models gain performance by having access to a knowledge base. A lot of research has been devoted to devising and improving the way the knowledge base is accessed and incor…