REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation
A paper proposing a knowledge graph generation module to enhance retrieval-augmented reader models.
The authors propose REANO, a system that generates knowledge graphs from passages and uses them to improve the performance of retrieval-augmented reader models. This is done by adding a knowledge graph generator and an answer predictor to the model. Experimental results show improvements in exact match scores on five open domain question answering datasets.
Based on: REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation