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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)
Place of PublicationHong Kong
PublisherAssociation for Computational Linguistics
Number of pages10
Publication statusPublished - 1 Nov 2019


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