# Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks

Source: [Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks](<https://www.sota2.com/research/paper/68fa66741e209131cea102a8>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-28T13:56:40.524Z

Authors: Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, Andre Freitas

Published: 2019-10-01T10:26:08.000Z

## Abstract

Recent advances in reading comprehension have resulted in models that surpass human performance when the answer is contained in a single, continuous passage of text. However, complex Question Answering (QA) typically requires multi-hop reasoning - i.e. the integration of supporting facts from different sources, to infer the correct answer. This paper proposes Document Graph Network (DGN), a message passing architecture for the identification of supporting facts over a graph-structured representation of text. The evaluation on HotpotQA shows that DGN obtains competitive results when compared to a reading comprehension baseline operating on raw text, confirming the relevance of structured representations for supporting multi-hop reasoning.

## Recorded benchmark results

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## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1910.00290>)

[PDF](<https://arxiv.org/pdf/1910.00290.pdf>)