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Georg Rehm

Symmetric Dot-Product Attention for Efficient Training of BERT Language Models
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Generating Extended and Multilingual Summaries with Pre-trained Transformers
Claim Extraction and Law Matching for COVID-19-related Legislation
Specialized Document Embeddings for Aspect-based Similarity of Research Papers
HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information
Evaluating Document Representations for Content-based Legal Literature Recommendations
Aspect-based Document Similarity for Research Papers
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling
Enriching BERT with Knowledge Graph Embedding for Document Classification

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