Papers with attribute-attentive charge prediction model

1 papers
Few-Shot Charge Prediction with Discriminative Legal Attributes (C18-1)

Copied to clipboard

Challenge: Existing works on charge prediction perform well on high-frequency charges but are not capable of predicting few-shot charges with limited cases.
Approach: They propose an attribute-attentive charge prediction model to infer attributes and charges simultaneously . they propose to use discriminative attributes as the internal mapping between fact descriptions and charges .
Outcome: The proposed model outperforms baseline models on real-world datasets by more than 50% . the proposed model can predict the attributes and charges simultaneously .

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations