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heiDATA is an institutional repository for Open Research Data from Heidelberg University. It is managed by Heidelberg University's Research Data Unit, a joint institution of the University Library and the Computing Centre. If you are interested in publishing your data here, please have a look at our user guide and get in touch with us. Detailed information on heiDATA can be found in our service description.
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Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings
Markdown Text - 1.9 KB - MD5: 2c96edadd2753c89643c77d5deb5bb0b
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Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings
Markdown Text - 285 B - MD5: edae4b18adbe165fcca7405d5fd14192
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Nov 13, 2023 - Neural Dependency Parser with Biaffine Attention and BERT Embeddings
Markdown Text - 112 B - MD5: c2e247cf74b1882b96bd8f1c78ee6808
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Nov 13, 2023 - Topological Field Labeler for German
Markdown Text - 82 B - MD5: 6f6c9146cb4bb5767db27672dcc6103f
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Nov 13, 2023 - Topological Field Labeler for German
Markdown Text - 1.6 KB - MD5: 2a078316007f36baa4b210e0a36b3d87
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Nov 13, 2023 - Topological Field Labeler for German
Markdown Text - 921 B - MD5: c4bbdbb55fad1730284e64cb7f8ef374
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Nov 13, 2023 - Topological Field Labeler for German
Markdown Text - 191 B - MD5: aae903db5c9404cdac6749870f60d871
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Jul 7, 2023 - Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis [data]
Markdown Text - 3.7 KB - MD5: ef86e075aecd0cee11ec2c7778253895
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Nov 13, 2023 - Neural Rerankers for Dependency Parsing
Markdown Text - 1.5 KB - MD5: 9b99b461dc66b9e2d63bd143ffa13919
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README.md
Nov 13, 2023 - Neural Rerankers for Dependency Parsing
Markdown Text - 82 B - MD5: 6f6c9146cb4bb5767db27672dcc6103f
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