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pro vyhledávání: '"Uthayasooriyar, Benno"'
Generic pre-trained neural networks may struggle to produce good results in specialized domains like finance and insurance. This is due to a domain mismatch between training data and downstream tasks, as in-domain data are often scarce due to privacy
Externí odkaz:
http://arxiv.org/abs/2412.09341
Named-entity recognition (NER) is a task that typically requires large annotated datasets, which limits its applicability across domains with varying entity definitions. This paper addresses few-shot NER, aiming to transfer knowledge to new domains w
Externí odkaz:
http://arxiv.org/abs/2412.00426
Text is the most widely used means of communication today. This data is abundant but nevertheless complex to exploit within algorithms. For years, scientists have been trying to implement different techniques that enable computers to replicate some m
Externí odkaz:
http://arxiv.org/abs/2010.00462