Detecting Contradictions Within and Across Documents
Summary: DocChecker represents document-derived entities and relations as a joined, knowledge-enriched property graph, detecting contradictions both within and across documents. Its PTIME vertex/edge rules unify logical reasoning with ML/NLP signals; parallel rule discovery achieves up to 0.935 F1 and scales to large collections. (summarized by gpt-6-luna on Oct 22 2026)
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Authors
- 1. Shenglin Chen (National University of Defense Technology)
- 2. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
- 3. Ruochun Jin (National University of Defense Technology)
- 4. Kexin Ma (National University of Defense Technology)
BibTeX Citation
@inproceedings{chen_sigmod27,
title = {{Detecting Contradictions Within and Across Documents}},
author = {Chen, Shenglin and Fan, Wenfei and Jin, Ruochun and Ma, Kexin},
series = {{SIGMOD} '27},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3837105},
url = {https://dl.acm.org/doi/10.1145/3837105},
year = {2027}
}
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