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cs.IR2022
Specialized Document Embeddings for Aspect-based Similarity of Research Papers
Malte Ostendorff, Till Blume, Terry Ruas +2
Document embeddings and similarity measures underpin content-based recommender systems, whereby a document is commonly represented as a single generic embedding. However, similarit…
cs.CL2022★ 10 cited
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein +2
Learning scientific document representations can be substantially improved through contrastive learning objectives, where the challenge lies in creating positive and negative train…