Papers by Saeideh Shahrokh Esfahani
Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements (P19-1)
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Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory DeAngelo, Elena Eneva, Andy E. Fano
| Challenge: | Human trafficking is a worldwide crisis. |
| Approach: | They propose a method to detect trafficking ads on online sites using natural language processing using a pre-trained textual language model. |
| Outcome: | The proposed classifier significantly outperforms any single feature set alone. |