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Javin Liu

2 accepted papers

2024

T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking

AAAI 2024technical

Human trafficking (HT) for forced sexual exploitation, often described as modern-day slavery, is a pervasive problem that affects millions of people worldwide. Perpetrators of this crime post advertisements (ads) on behalf of their victims on adult service websites (ASW). These websites typically co…

2023

SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking

EMNLP 2023long findings

In this work, we propose a weak supervision pipeline SWEET: Supervise Weakly for Entity Extraction to fight Trafficking for extracting person names from noisy escort advertisements. Our method combines the simplicity of rule-matching (through antirules, i.e., negated rules) and the generalizability…

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