#annotation-framework News & Analysis

2 articles tagged with #annotation-framework. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 236/10

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Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition

Researchers demonstrate that large language models can match or exceed fine-tuned BERT performance on Named Entity Recognition tasks when provided with hundreds of in-context examples rather than just a few. The study shows many-shot in-context learning can also serve as a data annotation framework, generating high-quality training data that improves low-resource NER by ~10% F1 when used to fine-tune supervised models.

AINeutralarXiv – CS AI · Mar 34/106

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From Variance to Invariance: Qualitative Content Analysis for Narrative Graph Annotation

Researchers developed a new framework for annotating economic narratives in news using directed acyclic graphs to represent causal relationships between events. The study focused on inflation narratives and introduced quality measures to reduce annotation errors, finding that lenient metrics overestimate reliability while locally-constrained representations improve consistency.