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[HTML][HTML] Chinese named entity recognition: The state of the art
Abstract Named Entity Recognition (NER), one of the most fundamental problems in natural
language processing, seeks to identify the boundaries and types of entities with specific …
language processing, seeks to identify the boundaries and types of entities with specific …
Nested named entity recognition: a survey
With the rapid development of text mining, many studies observe that text generally contains
a variety of implicit information, and it is important to develop techniques for extracting such …
a variety of implicit information, and it is important to develop techniques for extracting such …
MECT: Multi-metadata embedding based cross-transformer for Chinese named entity recognition
Recently, word enhancement has become very popular for Chinese Named Entity
Recognition (NER), reducing segmentation errors and increasing the semantic and …
Recognition (NER), reducing segmentation errors and increasing the semantic and …
Research on the construction of event logic knowledge graph of supply chain management
Abstract Knowledge graph technology plays an important role in knowledge supporting for
efficient supply chain management (SCM) of manufacturing enterprises, a SCM knowledge …
efficient supply chain management (SCM) of manufacturing enterprises, a SCM knowledge …
Named entity recognition for social media texts with semantic augmentation
Existing approaches for named entity recognition suffer from data sparsity problems when
conducted on short and informal texts, especially user-generated social media content …
conducted on short and informal texts, especially user-generated social media content …
Improving named entity recognition with attentive ensemble of syntactic information
Named entity recognition (NER) is highly sensitive to sentential syntactic and semantic
properties where entities may be extracted according to how they are used and placed in the …
properties where entities may be extracted according to how they are used and placed in the …
HEProto: a hierarchical enhancing ProtoNet based on multi-task learning for few-shot named entity recognition
Few-shot Named Entity Recognition (NER) task, which aims to identify and classify entities
from different domains with limited training samples, has long been treated as a basic step …
from different domains with limited training samples, has long been treated as a basic step …
Multiple embeddings enhanced multi-graph neural networks for Chinese healthcare named entity recognition
Named Entity Recognition (NER) is a natural language processing task for recognizing
named entities in a given sentence. Chinese NER is difficult due to the lack of delimited …
named entities in a given sentence. Chinese NER is difficult due to the lack of delimited …
Named entity recognition for Chinese marine text with knowledge-based self-attention
S He, D Sun, Z Wang - Multimedia Tools and Applications, 2022 - Springer
Chinese named entity recognition has been widely used in many fields, such as species
recognition in marine information, and so on. Compared with the standard named entity …
recognition in marine information, and so on. Compared with the standard named entity …
Semi-supervised bidirectional long short-term memory and conditional random fields model for named-entity recognition using embeddings from language models …
Increasingly, popular online museums have significantly changed the way people acquire
cultural knowledge. These online museums have been generating abundant amounts of …
cultural knowledge. These online museums have been generating abundant amounts of …