Token classification weak labelling

As in the text classification task, the “Weak labeling” mode in token classification must allow tag entities by defining a query and entity label (the rule).

Given a rule, the Weak labeling mode for token classification will tag entities based on the matched tokens/words in the search results returned by the API.

The way the entity will be tagged from the matched token will be determined by a labeling function provided as an attribute of the rule. For now, just one single labeling function will be supported, the exact_match, where all matched tokens/words will be tagged as the provided rule.

For example, given a labeling rule with the query Par*, the label PLACE, and the matched record Paris is the city of light, the labeling function will tag the token Paris as a PLACE.

An important behavior of this feature is to provide a visualization of the tagged entities in the visible records from the UI.

[Amelie-V]

Decision Notes

Record list

• Maintain view
• Improve query visibility into records

Module to set rules

• Improve information architecture: 1. Start with a query (this first step is too shy for now)
• Apply changes on the main view. removing or adapting components inherited from annotation/explore mode. e.g: remove the label legend, add information colors on labels buttons…

[davidberenstein1957]

Also, think about including docs and reference TextClassification usecases too #1986