Zero- and Few-Shot Named-Entity Recognition: Case Study and Dataset in the Crime Domain (CrimeNER) | ScienceToStartup | ScienceToStartup

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References (40)

[1]

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

2025Gheorghe Comanici, Eric Bieber et al.

[2]

PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)

2025Gonzalo Mancera, A. Morales et al.

[3]

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment

Founder's Pitch

"CrimeNER provides a specialized NER dataset for crime-related document analysis, useful for law enforcement agencies."

Named-Entity Recognition•Score: 5•View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

3/4 signals

7.5

Series A Potential

2/4 signals

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Zero- and Few-Shot Named-Entity Recognition: Case Study and Dataset in the Crime Domain (CrimeNER)

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References (40)

Founder's Pitch

"CrimeNER provides a specialized NER dataset for crime-related document analysis, useful for law enforcement agencies."

Commercial Viability Breakdown

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Why It Matters

Product Angle

Disruption

Product Opportunity

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Zero- and Few-Shot Named-Entity Recognition: Case Study and Dataset in the Crime Domain (CrimeNER)

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References (40)

Founder's Pitch

"CrimeNER provides a specialized NER dataset for crime-related document analysis, useful for law enforcement agencies."

Commercial Viability Breakdown

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