Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification
Shyam Subramanian, Kyumin Lee
摘要
Automated fact extraction and verification is a challenging task that involves finding relevant evidence sentences from a reliable corpus to verify the truthfulness of a claim. Existing models either (i) concatenate all the evidence sentences, leading to the inclusion of redundant and noisy information; or (ii) process each claim-evidence sentence pair separately and aggregate all of them later, missing the early combination of related sentences for more accurate claim verification. Unlike the prior works, in this paper, we propose Hierarchical Evidence Set Modeling (HESM), a framework to extract evidence sets (each of which may contain multiple evidence sentences), and verify a claim to be supported, refuted or not enough info, by encoding and attending the claim and evidence sets at different levels of hierarchy. Our experimental results show that HESM outperforms 7 state-of-the-art methods for fact extraction and claim verification. Our source code is available at https://github.com/ ShyamSubramanian/HESM . Claim Wentworth is an Australian television series. Wentworth [TV series] A sixth season was commissioned by Foxtel on 9 May 2017. Foxtel Foxtel is an Australian pay television company.
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引用它的顶会 Paper8
- Synthetic Disinformation Attacks on Automated Fact Verification SystemsYibing Du, Antoine Bosselut, Christopher D. ManningAAAI 2022 · 被引用 58 次
- EvidenceNet: Evidence Fusion Network for Fact VerificationZhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao 等WWW 2022 · 被引用 32 次
- Counterfactual Debiasing for Fact VerificationWeizhi Xu, Qiang Liu, Shu Wu, Liang WangACL 2023 · 被引用 26 次
- MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and ReasoningLiwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia 等AAAI 2025 · 被引用 6 次
- DocInfer: Document-level Natural Language Inference using Optimal Evidence SelectionPuneet Mathur, Gautam Kunapuli, Riyaz A. Bhat, Manish Shrivastava 等EMNLP 2022 · 被引用 5 次
它引用的顶会 Paper3
- ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsZhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel 等ICLR 2020 · 被引用 7,418 次
- TabFact: A Large-scale Dataset for Table-based Fact VerificationWenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang 等ICLR 2020 · 被引用 674 次
- Fine-grained Fact Verification with Kernel Graph Attention NetworkZhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan LiuACL 2020 · 被引用 9 次
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