Search Results for author:
Found 2 papers, 1 papers with code
TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense Question Answering
In this paper, we aim to address the above limitation by leveraging the implicit knowledge stored in PrLMs and propose a two-stage prompt-based unsupervised commonsense question answering framework (TSGP).
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering
Specifically, JointLK performs joint reasoning between LM and GNN through a novel dense bidirectional attention module, in which each question token attends on KG nodes and each KG node attends on question tokens, and the two modal representations fuse and update mutually by multi-step interactions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
