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Found 4 papers, 2 papers with code
Specialized Document Embeddings for Aspect-based Similarity of Research Papers
We compare and analyze three generic document embeddings, six specialized document embeddings and a pairwise classification baseline in the context of research paper recommendations.
Scaling R-GCN Training with Graph Summarization
The amount of gradient information that needs to be stored during training for real-world graphs is often too large for the amount of memory available on most GPUs.
Aspect-based Document Similarity for Research Papers
Our findings motivate future research of aspect-based document similarity and the development of a recommender system based on the evaluated techniques.
Towards an Open Platform for Legal Information
Recent advances in the area of legal information systems have led to a variety of applications that promise support in processing and accessing legal documents.
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