Abstract
Fact-checking real-world claims often requires intricate, multi-step reasoning due to the absence of direct evidence to support or refute them. However, existing fact-checking systems often lack transparency in their decision-making, making it challenging for users to comprehend their reasoning process. To address this, we propose the Question-guided Multi-hop Fact-Checking (QACheck) system, which guides the model’s reasoning process by asking a series of questions critical for verifying a claim. QACheck has five key modules: a claim verifier, a question generator, a question-answering module, a QA validator, and a reasoner. Users can input a claim into QACheck, which then predicts its veracity and provides a comprehensive report detailing its reasoning process, guided by a sequence of (question, answer) pairs. QACheck also provides the source of evidence supporting each question, fostering a transparent, explainable, and user-friendly fact-checking process.- Anthology ID:
- 2023.emnlp-demo.23
- Volume:
- Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Month:
- December
- Year:
- 2023
- Address:
- Singapore
- Editors:
- Yansong Feng, Els Lefever
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 264–273
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/2023.emnlp-demo.23/
- DOI:
- 10.18653/v1/2023.emnlp-demo.23
- Cite (ACL):
- Liangming Pan, Xinyuan Lu, Min-Yen Kan, and Preslav Nakov. 2023. QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 264–273, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking (Pan et al., EMNLP 2023)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/2023.emnlp-demo.23.pdf