Are there some research papers about text-to-set generation?
Question
I have googled but find no results.
Text-to-(word)set generation or sequence-to-(token)set generation.
For example, input a text and then output the tags for this text:
'Peter is studying English'
--> {'good behavior','person','doing something'}
Thank you!
La solution
Check out these papers below and google keywords: Multi-label Classification
.
X-BERT: eXtreme Multi-label Text Classification with BERT
HAXMLNet: Hierarchical Attention Network for Extreme Multi-Label Text Classification
SGM: Sequence Generation Model for Multi-label Classification
Ranking-Based Autoencoder for Extreme Multi-label Classification
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
Also check out the code below:
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