A new multimodal escort-ad dataset shows that end-to-end joint text-image training outperforms unimodal and CLIP-aligned models for vendor linking.
An Entity Resolution approach to isolate instances of Human Trafficking online
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abstract
Human trafficking is a challenging law enforcement problem, and a large amount of such activity manifests itself on various online forums. Given the large, heterogeneous and noisy structure of this data, building models to predict instances of trafficking is an even more convolved a task. In this paper we propose and entity resolution pipeline using a notion of proxy labels, in order to extract clusters from this data with prior history of human trafficking activity. We apply this pipeline to 5M records from backpage.com and report on the performance of this approach, challenges in terms of scalability, and some significant domain specific characteristics of our resolved entities.
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cs.CL 1years
2024 1verdicts
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MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data
A new multimodal escort-ad dataset shows that end-to-end joint text-image training outperforms unimodal and CLIP-aligned models for vendor linking.