Skip to search formSkip to main contentSkip to account menu
You are currently offline. Some features of the site may not work correctly.

Name:ID:Pt:Organization:Nom

Known as: Organization name, Name:Identifier:Point in time:Organization:Nominal, Nome:ID:Pt:Organizzazione:Nom 
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
In the past two decades we have seen a steady increase in the adoption of various technologies that fit into what can be… 
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
2016
2016
Named Entity Recognition and Classification is the process of identifying named entities and classifying them into one of the… 
  • table I
  • table II
  • figure 1
  • table III
  • table IV
2016
2016
With the rapid growth of internet-scale, social media services (such as micro-blog) have gradually become a popular platform for… 
  • figure I
  • table I
  • table II
2011
2011
  • Xiying Yao
  • 4th IEEE International Conference on Broadband…
  • 2011
  • Corpus ID: 17866059
We propose a recognition method based on statistics through analysis the grammatical and semantic characteristics of the Chinese… 
  • figure 3
  • figure 2
  • figure 4
  • table 2
  • table 4
Review
2010
Review
2010
Background. We are witnessing an exponential increase in biomedical research citations in PubMed. However, translating biomedical… 
2009
2009
Automatic recognition of Chinese organization name is a very difficult problem in natural language processing.This paper presents… 
2007
2007
Person, location and organization have been always mentioned as a bottleneck of a named entity recognition (NER) system… 
  • figure 1
  • table 2
  • table 3
2006
2006
An approach for Chinese named entity identification using cascaded hidden Markov model,which aimed to incorporate person name… 
2006
2006
Extracting and classifying proper names is a key to improving the efficiency and the performance of many applications in the area… 
  • table 2
  • table 4
  • table 3
  • table 5
  • figure 3