Named-entity recognition

Known as: Entity extraction, Named Entity Recognition, Recognition 
Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
State-of-the-art named entity recognition systems rely heavily on hand-crafted features and domain-specific knowledge in order to… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Is this relevant?
Highly Cited
2016
Highly Cited
2016
Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature… (More)
  • figure 2
  • figure 1
  • figure 3
  • table 1
  • table 2
Is this relevant?
Highly Cited
2011
Highly Cited
2011
People tweet more than 100 Million times daily, yielding a noisy, informal, but sometimes informative corpus of 140-character… (More)
  • table 1
  • table 2
  • table 3
  • table 4
  • table 5
Is this relevant?
2010
2010
This Ph.D. thesis describes the investigations we carried out in order to determine the appropriate approach to build an… (More)
Is this relevant?
Highly Cited
2009
Highly Cited
2009
We analyze some of the fundamental design challenges and misconceptions that underlie the development of an efficient and robust… (More)
  • figure 1
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
2005
2005
Named entity recognition (NER) is a subtask of information extraction that seeks to locate and classify atomic elements in text… (More)
  • figure 1
  • figure 2
Is this relevant?
Highly Cited
2004
Highly Cited
2004
As the wealth of biomedical knowledge in the form of literature increases, there is a rising need for effective natural language… (More)
  • table 2
  • table 1
Is this relevant?
Highly Cited
2003
Highly Cited
2003
We discuss two named-entity recognition models which use characters and character -grams either exclusively or as an important… (More)
  • table 1
  • figure 1
  • table 2
  • table 3
  • table 4
Is this relevant?
Highly Cited
2003
Highly Cited
2003
Models for many natural language tasks benefit from the flexibility to use overlapping, non-independent features. For example… (More)
  • figure 1
Is this relevant?
Highly Cited
2001
Highly Cited
2001
Current research in Information Extraction tends to be focused on application-specific systems tailored to a particular domain… (More)
  • table 1
  • table 2
  • figure 1
  • figure 2
  • figure 3
Is this relevant?