Span Based

Span labeling projects allow you to label spans of text within a document. This type is well suited for tasks such as named entity recognition (NER) and part-of-speech (POS) tagging.

During project creation, you can adjust additional settings as described below.

• Limit selection to a span of 1 token is useful when you want to ensure that every token in the document is labeled.

• Spans should have at most one label prevents you from adding multiple labels to a single span.

• Allow arrows to be drawn between labels lets you draw arrows from one label to another to annotate relationships between words. This is useful for showing that an adjective relates to a noun, or that a pronoun refers to a person.

• Default text selection lets you choose between token-level or character-level selection. Some languages, such as Mandarin, Korean, or Thai, may require character-level selection.

Note: If you have already created a project, you can change the configurations through Project settings.

Aside from NER and POS, audio labeling is another type of spanlabeling task. The main difference is that the audio interface displays a waveform and allows you to modify timestamps.