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pro vyhledávání: '"Hamann, Felix"'
We address the challenge of building domain-specific knowledge models for industrial use cases, where labelled data and taxonomic information is initially scarce. Our focus is on inductive link prediction models as a basis for practical tools that su
Externí odkaz:
http://arxiv.org/abs/2301.00716
Entity linking, the task of mapping textual mentions to known entities, has recently been tackled using contextualized neural networks. We address the question whether these results -- reported for large, high-quality datasets such as Wikipedia -- tr
Externí odkaz:
http://arxiv.org/abs/2005.07604
In retrieval applications, binary hashes are known to offer significant improvements in terms of both memory and speed. We investigate the compression of sentence embeddings using a neural encoder-decoder architecture, which is trained by minimizing
Externí odkaz:
http://arxiv.org/abs/1908.05541
Akademický článek
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