K-pop and fake facts: from texts to smart alerting for maritime security

Maxime Prieur, Souhir Gahbiche, Guillaume Gadek, Sylvain Gatepaille, Kilian Vasnier, Valerian Justine


Abstract
Maritime security requires full-time monitoring of the situation, mainly based on technical data (radar, AIS) but also from OSINT-like inputs (e.g., newspapers). Some threats to the operational reliability of this maritime surveillance, such as malicious actors, introduce discrepancies between hard and soft data (sensors and texts), either by tweaking their AIS emitters or by emitting false information on pseudo-newspapers. Many techniques exist to identify these pieces of false information, including using knowledge base population techniques to build a structured view of the information. This paper presents a use case for suspect data identification in a maritime setting. The proposed system UMBAR ingests data from sensors and texts, processing them through an information extraction step, in order to feed a Knowledge Base and finally perform coherence checks between the extracted facts.
Anthology ID:
2023.acl-industry.49
Volume:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Sunayana Sitaram, Beata Beigman Klebanov, Jason D Williams
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
510–517
Language:
URL:
https://aclanthology.org/2023.acl-industry.49
DOI:
10.18653/v1/2023.acl-industry.49
Bibkey:
Cite (ACL):
Maxime Prieur, Souhir Gahbiche, Guillaume Gadek, Sylvain Gatepaille, Kilian Vasnier, and Valerian Justine. 2023. K-pop and fake facts: from texts to smart alerting for maritime security. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 510–517, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
K-pop and fake facts: from texts to smart alerting for maritime security (Prieur et al., ACL 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.acl-industry.49.pdf