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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.13288 |
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| _version_ | 1866909745049239552 |
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| author | Devasier, Jacob Mediratta, Rishabh Putta, Akshith Li, Chengkai |
| author_facet | Devasier, Jacob Mediratta, Rishabh Putta, Akshith Li, Chengkai |
| contents | We propose a novel paradigm for automatic fact-checking that leverages frame semantics to enhance the structured understanding of claims and guide the process of fact-checking them. To support this, we introduce a pilot dataset of real-world claims extracted from PolitiFact, specifically annotated for large-scale structured data. This dataset underpins two case studies: the first investigates voting-related claims using the Vote semantic frame, while the second explores various semantic frames based on data sources from the Organisation for Economic Co-operation and Development (OECD). Our findings demonstrate the effectiveness of frame semantics in improving evidence retrieval and explainability for fact-checking. Finally, we conducted a survey of frames evoked in fact-checked claims, identifying high-impact frames to guide future work in this direction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_13288 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Task-Oriented Automatic Fact-Checking with Frame-Semantics Devasier, Jacob Mediratta, Rishabh Putta, Akshith Li, Chengkai Computation and Language We propose a novel paradigm for automatic fact-checking that leverages frame semantics to enhance the structured understanding of claims and guide the process of fact-checking them. To support this, we introduce a pilot dataset of real-world claims extracted from PolitiFact, specifically annotated for large-scale structured data. This dataset underpins two case studies: the first investigates voting-related claims using the Vote semantic frame, while the second explores various semantic frames based on data sources from the Organisation for Economic Co-operation and Development (OECD). Our findings demonstrate the effectiveness of frame semantics in improving evidence retrieval and explainability for fact-checking. Finally, we conducted a survey of frames evoked in fact-checked claims, identifying high-impact frames to guide future work in this direction. |
| title | Task-Oriented Automatic Fact-Checking with Frame-Semantics |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2501.13288 |