GM-RKB: CRF-based Sequence Tagging Function

A CRF-based Sequence Tagging Function is a Conditional Random Field that is a Sequence Tagging Function.

AKA: CRF-based Sequence Tagger.
Context:
- It can be a CRF-based Sequence Segmentation Function (e.g. if it uses a IBO Tag Set).
Example(s):
Counter-Example(s):
See: CRF System.

References

2005

(Wallach, 2005) => Hanna M. Wallach. (2005). "Conditional Random Fields." Literature Survey Webpage.
- Conditional random fields (CRFs) are a probabilistic framework for labeling and segmenting structured data, such as sequences, trees and lattices.

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