Part-of-Speech (POS) Tagging

BERT-based Architecture for Sequence Labeling

Span Prediction in NLP

Definition of Named Entity Recognition

A model is designed to perform a sequence labeling task by identifying organizations and locations within a text. For each word (token), it must assign one of the following labels: O (not an entity), B-ORG (beginning of an organization), I-ORG (inside an organization), B-LOC (beginning of a location), or I-LOC (inside a location). Given the sentence 'The United Nations headquarters in New York City is a major landmark', which of the following represents the correct sequence of labels?

Applicability of Sequence Labeling

Analyzing a Sequence Labeling Model's Output

Negative Likelihood Loss in Sequence Labeling