Relational Graph Representation Learning for Open-Domain Question Answering
Salvatore Vivona, Kaveh Hassani · arXiv (Cornell University) · 2019
We introduce a relational graph neural network with bi-directional attention mechanism and hierarchical representation learning for open-domain question answering task. Our model can learn contextual representation by jointly learning and updating the query, knowledge graph, and document representations. The experiments suggest that our model achieves state-of-the-art on the WebQuestionsSP benchmark.