A survey on deep learning for named entity recognition
Named entity recognition (NER) is the task to identify mentions of rigid designators from text
belonging to predefined semantic types such as person, location, organization etc. NER …
belonging to predefined semantic types such as person, location, organization etc. NER …
FLAT: Chinese NER using flat-lattice transformer
Transfer learning for Arabic named entity recognition with deep neural networks
The vast amount of unstructured data spread on a daily basis rises the need for develo**
effective information retrieval and extraction methods. Named Entity Recognition is a …
effective information retrieval and extraction methods. Named Entity Recognition is a …
Method and dataset entity mining in scientific literature: a CNN+ BiLSTM model with self-attention
The traditional literature analysis mainly focuses on the literature metadata such as topics,
authors, keywords, references, and rarely pays attention to the main content of papers …
authors, keywords, references, and rarely pays attention to the main content of papers …