ines
June 5, 2020, 9:46am
2
Hi! It's definitely possible – we just haven't tested how well it works in terms of the active learning, and you'd have to adjust the recipe so that it actually adds "options" with all labels you provide to each outgoing task. Otherwise, the choice interface can't render it (also see here for the expected format).
Some more threads on the topic with examples:
I am annotating a corpus with 5 labels, bought, sold, buyer, seller, owns. Documents can have more than 1 label (sold and owns for example).
When I use textcat.teach with exclusive left set to false I am getting a pretty unbalanced set of annotations. Is it possible to use textcat.teach with the multiple choice UI used by textcat.manual so that can label more than one category when they appear. For example when something like "John sold a camera, and owns wide angle lens", I want to annotate wi…
Hello,
I am trying to create a custom recipe where I can do text classification with multiple choice while updating the default TextClassifier model at the same time. I am using as base the textcat_teach recipe
I have the code for the multiple choice + classification with predictions. I am also able to update the answer before is written to the DB so I can correct the label before it is written to the DB it in case the prediction was not correct.
What I am not sure how to do or if I am doing …