IOBtagging
IOB tagging, also known as Inside-Outside-Beginning tagging, is a method used in natural language processing (NLP) for labeling tokens in a text sequence. It is particularly useful for tasks such as named entity recognition (NER) and part-of-speech (POS) tagging. The IOB scheme assigns a tag to each token in a sentence, indicating whether the token is inside a named entity, outside of any named entity, or at the beginning of a named entity.
The IOB tagging scheme uses three main tags:
1. B-tag: This tag is used to indicate the beginning of a named entity. For example, in
2. I-tag: This tag is used to indicate that a token is inside a named entity. Continuing
3. O-tag: This tag is used to indicate that a token is outside of any named entity.
The IOB tagging scheme is simple and effective, making it a popular choice for many NLP tasks.