In this article, we provide a comprehensive survey of the application of deep learning for patent analysis. We summarize the state-of-the-art techniques and describe how they are applied to various tasks in the patent domain. In a detailed discussion, we categorize 40 papers based on the ...
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Experimental results show that our framework out-performs the traditional one in terms of automation and accuracy, and is capable of extracting fine-grained structured information from patent texts. 展开 关键词: Patent analysis Entity identification Relation extraction Deep learning BiGRU-HAN BiLSTM-CRF...
Deep learning (DL) has the potential to transform medical diagnostics. However, the diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of DL algorithms to identify pathology in medical imaging. Searches were conducted
(2018). A survey on deep transfer learning. Paper presented at: International Conference on Artificial Neural Networks (Springer). Google Scholar 127 D.M. Roy, L.P. Kaelbling Efficient Bayesian Task-Level Transfer Learning IJCAI (2007) Paper presented at: Google Scholar 128 B. Sattari Babou...
Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are seen instead by general practitioners with lower diagnostic accuracy. We present a deep learning system (DLS) to provide a differential diagnosis of skin conditions using 16,114 de-identified cases (...
This repository contains resources for Natural Language Processing (NLP) with a focus on the task of Text Classification. The content is mainly from paper 《A Survey on Text Classification: From Shallow to Deep Learning》 (该repository主要总结自然语言处理(NLP)中文本分类任务的资料。内容主要来自文本...
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