Supervised Named Entity Recognition (NER) Task
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A Supervised Named Entity Recognition (NER) Task is a data-driven named entity recognition task that is a supervised text recognition task.
- Context:
- input: an NER Training Corpus.
- It can be solved by a Supervised Named Entity Recognition System (that implements a Supervised Named Entity Recognition Algorithm).
- It can range from being a Fully-Supervised Named Entity Recognition Task to being a Semi-Supervised Named Entity Recognition Task.
- It can support a Supervised Information Extraction Task.
- …
- Example(s):
- Counter-Example(s):
- See: Supervised Concept Mention Recognition Task.
References
2013
- (Zhang, 2013) ⇒ Ziqi Zhang. (2013). “Named Entity Recognition: Challenges in Document Annotation, Gazetteer Construction and Disambiguation." PhD Thesis, University of Sheffield.
2007
- (Nadeau & Sekine, 2007) ⇒ David Nadeau, and Satoshi Sekine. (2007). “A Survey of Named Entity Recognition and Classification.” In: Lingvisticae Investigationes, 30(1).