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Natural language inference with self-attention for veracity assessment of pandemic claims
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Arana-Catania, M., Kochkina, Elena, Zubiaga, Arkaitz, Liakata, Maria, Procter, Rob and He, Yulan (2022) Natural language inference with self-attention for veracity assessment of pandemic claims. In: 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Hybrid: Seattle, USA, 10-15 Jul 2022. Published in: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies pp. 1496-1511. doi:10.18653/v1/2022.naacl-main.107
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WRAP-Natural-language-inference-with-self-attention-for-veracity-assessment-of-pandemic-claims-Arana-Catania-22.pdf - Accepted Version - Requires a PDF viewer. Download (666Kb) | Preview |
Official URL: https://doi.org/10.18653/v1/2022.naacl-main.107
Abstract
We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinformation related to the COVID-19 pandemic. We first describe the construction of the novel PANACEA dataset consisting of heterogeneous claims on COVID-19 and their respective information sources. The dataset construction includes work on retrieval techniques and similarity measurements to ensure a unique set of claims. We then propose novel techniques for automated veracity assessment based on Natural Language Inference including graph convolutional networks and attention based approaches. We have carried out experiments on evidence retrieval and veracity assessment on the dataset using the proposed techniques and found them competitive with SOTA methods, and provided a detailed discussion.
| Item Type: | Conference Item (Paper) | |||||||||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RA Public aspects of medicine |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | |||||||||||||||
| Library of Congress Subject Headings (LCSH): | COVID-19 Pandemic, 2020- , Natural language processing (Computer science), Neural networks (Computer science) , Computational linguistics | |||||||||||||||
| Journal or Publication Title: | Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies | |||||||||||||||
| Publisher: | Association for Computational Linguistics | |||||||||||||||
| Official Date: | 5 May 2022 | |||||||||||||||
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| Page Range: | pp. 1496-1511 | |||||||||||||||
| DOI: | 10.18653/v1/2022.naacl-main.107 | |||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||
| Publication Status: | Published | |||||||||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||
| Date of first compliant deposit: | 9 May 2022 | |||||||||||||||
| Date of first compliant Open Access: | 9 May 2022 | |||||||||||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | |||||||||||||||
| Title of Event: | 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics | |||||||||||||||
| Type of Event: | Conference | |||||||||||||||
| Location of Event: | Hybrid: Seattle, USA | |||||||||||||||
| Date(s) of Event: | 10-15 Jul 2022 | |||||||||||||||
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