From the 1 of 3 linked papers with an AI index.
3 papers
CrimeNER Demo: Named-Entity Recognition in the Crime Domain
Miguel Lopez-Duran, Julian Fierrez, Aythami Morales +7
The paper introduces CrimeNER Demo, an AI-driven platform that extracts and classifies crime-related entities from documents using pretrained and user‑fine‑tuned NER models.
Comparative Study of Domain-adapted VLMs for General Document Visual Question Answering
Miguel Lopez-Duran, Elena Marrero, Julian Fierrez +8
Document Visual Question Answering (DocVQA) presents a complex multimodal challenge, requiring models to exploit visual, textual, and layout information from documents. Although Vi…
Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset
Miguel Lopez-Duran, Julian Fierrez, Aythami Morales +7
The extraction of critical information from crime-related documents is a crucial task for law enforcement agencies. The extraction of this information can be interpreted as a Named…