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Lafferty, McCallum and Pereira: conditional random fields for sequence labeling

Contribution grade

Natural language processing and speech · ALGORITHM

Reference score130,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Introduced conditional random fields for sequence segmentation and labeling.

Scientific scope

The record is the exact three-author ICML 2001 paper. It does not absorb hidden Markov models, every discriminative sequence model, later neural CRFs or claims beyond the paper's formulations and evaluations.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact three-author ICML 2001 paper. It does not absorb hidden Markov models, every discriminative sequence model, later neural CRFs or claims beyond the paper's formulations and evaluations.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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