AI engineering glossary · NLP embeddings
What is sequence labelling?
Sequence labelling (also called Sequence tagging): A task where a model assigns one label to every item in an input sequence, usually every token, while taking neighbouring items into account. Named entity recognition, part-of-speech tagging and chunking are typical examples.
Sequence labelling: an example
For the tokens [Ravi, lives, in, Delhi] the labels might be [PER, O, O, LOC].
Related terms
More NLP embeddings terms
Where you learn it
Sequence labelling is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.