Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document Retrieval
Yeon Seonwoo, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Alice Oh
Abstract
Domain-specific documents cover terminologies and specialized knowledge. This has been the main challenge of domain-specific document retrieval systems. Previous approaches propose domain-adaptation and transfer learning methods to alleviate this problem. However, these approaches still follow the same document representation method in previous approaches; a document is embedded into a single vector. In this study, we propose VKGDR. VKGDR represents a given corpus into a graph of entities and their relations (known as a virtual knowledge graph) and computes the relevance between queries and documents based on the graph representation. We conduct three experiments 1) domain-specific document retrieval, 2) comparison of our virtual knowledge graph construction method with previous approaches, and 3) ablation study on each component of our virtual knowledge graph. From the results, we see that unsupervised VKGDR outperforms baselines in a zero-shot setting and even outperforms fully-supervised bi-encoder. We also verify that our virtual knowledge graph construction method results in better retrieval performance than previous approaches.- Anthology ID:
- 2022.coling-1.101
- Volume:
- Proceedings of the 29th International Conference on Computational Linguistics
- Month:
- October
- Year:
- 2022
- Address:
- Gyeongju, Republic of Korea
- Editors:
- Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 1169–1178
- Language:
- URL:
- https://aclanthology.org/2022.coling-1.101
- DOI:
- Cite (ACL):
- Yeon Seonwoo, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, and Alice Oh. 2022. Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document Retrieval. In Proceedings of the 29th International Conference on Computational Linguistics, pages 1169–1178, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
- Cite (Informal):
- Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document Retrieval (Seonwoo et al., COLING 2022)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2022.coling-1.101.pdf
- Code
- yeonsw/vkgdr
- Data
- TechQA