Our new model uses a knowledge graph to establish the structural relationship among the retrieved passages, and a graph neural network (GNN) to re-rank the ...

8 окт. 2021 г. · In this work, we propose a novel method KG-FiD, which filters noisy passages by leveraging the structural relationship among the retrieved ...

22 мая 2022 г. · Open domain question answering using early · fusion of knowledge bases and text. In Proceed- ings of the 2018 Conference on Empirical Methods.

This paper introduces a knowledge-enhanced version of Fusion-in-Decoder, namely KG-FiD, which uses a knowledge graph to establish the structural relationship ...

1 нояб. 2021 г. · In this work, we propose a novel method KG-FiD, which filters noisy passages by leveraging the structural relationship among the retrieved ...

... KG-FiD [14] : By incorporating knowledge graphs and graph neural networks, KG-FiD effectively models the semantic relationships between retrieved passages ...

Thus, we propose a novel method KG-FiD to address both the effectiveness and efficiency drawbacks of FiD by jointly training knowledge graph based passage ...

23 мая 2022 г. · originals · KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering · Speakers · Downloads · Next from ACL 2022.

3 мар. 2024 г. · Knowledge graphs are a good alternative to presenting and retrieving data for the task of QA, especially due to their flexibility in representing any type of ...

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering ... The recent proposed Fusion-in-Decoder (FiD), which is built on ...