Closed anjani-dhrangadhariya closed 2 years ago
Hi anjani-dhrangadhariya,
Thanks for reaching out! To clarify you explicitly want 'abstain' as a class as opposed to just considering cases where labeling functions don't vote to be abstaining correct?
If thats the case, I don't think you need to force-label in the case where no labeling functions vote on a given word. Probabilistic labels will still be generated anyway (the fact that no labeling functions voted is itself a signal the label model picks up on).
Hope this helps!
Hi anjani-dhrangadhariya,
Thanks for reaching out! To clarify you explicitly want 'abstain' as a class as opposed to just considering cases where labeling functions don't vote to be abstaining correct?
If thats the case, I don't think you need to force-label in the case where no labeling functions vote on a given word. Probabilistic labels will still be generated anyway (the fact that no labeling functions voted is itself a signal the label model picks up on).
Hope this helps!
Thank you for your answer, Humza! I removed my previous response as it came from a different understanding. I am not using abstain class and just use abstain as a label where none of the labeling functions voted. The problem was that I did not have any negative label LFs. To make the label model work, I need to have labeling functions that emit non-zero labels {-1, 1}.
Issue description
I have a program that labels a sequence of words using ontologies. I have labeling functions for class negative, class positive, and class abstain. Should I keep the word unlabeled if it does not fall under any of these class labels and ignore it or should I force-label them under either class negative or abstain? I will be grateful for any hints or help.