April 2022
Beginner to intermediate
200 pages
4h 17m
English
Content preview from Natural Language Processing with Flair
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Chapter 4: Sequence Tagging
Sequence tagging (or sequence labeling) refers to a set of Natural Language Processing (NLP) tasks that assign labels or tags to tokens or other units of text. When the tags are named entities, we are then dealing with named entity recognition (NER). When the tags are parts of speech, this task is called part-of-speech (PoS) tagging. Unlike embeddings that are trained in an unsupervised manner, sequence taggers are trained using supervised training techniques, making them easier to evaluate and compare.
Sequence tagging is a field where Flair truly shines. Flair uses the ingenuity of Flair embeddings (explained in the previous chapter) to achieve state-of-the-art results across many different sequence tagging tasks ...
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