# Adapting RNN Sequence Prediction Model to Multi-label Set Prediction

Kechen QinCheng LiVirgil PavluJaved A. Aslam

We present an adaptation of RNN sequence models to the problem of multi-label classification for text, where the target is a set of labels, not a sequence. Previous such RNN models define probabilities for sequences but not for sets; attempts to obtain a set probability are after-thoughts of the network design, including pre-specifying the label order, or relating the sequence probability to the set probability in ad hoc ways... (read more)

PDF Abstract NAACL 2019 PDF NAACL 2019 Abstract

No code implementations yet. Submit your code now