Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks
Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas
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.- Anthology ID:
- D19-5306
- Volume:
- Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)
- Month:
- November
- Year:
- 2019
- Address:
- Hong Kong
- Editors:
- Dmitry Ustalov, Swapna Somasundaran, Peter Jansen, Goran Glavaš, Martin Riedl, Mihai Surdeanu, Michalis Vazirgiannis
- Venue:
- TextGraphs
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 42–51
- Language:
- URL:
- https://aclanthology.org/D19-5306
- DOI:
- 10.18653/v1/D19-5306
- Cite (ACL):
- Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, and André Freitas. 2019. Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. In Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13), pages 42–51, Hong Kong. Association for Computational Linguistics.
- Cite (Informal):
- Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks (Thayaparan et al., TextGraphs 2019)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/D19-5306.pdf
- Data
- HotpotQA