Toward Trustworthy Semantic Enrichment at Scale — A 2023 Roadmap for Architectures, Reliability, and Human-in-the-Loop Operations
Keywords:
Semantic enrichment, entity linking, dense retrieval, cross-encoder, calibration, selective prediction, active learning, reviewer UX, benchmarking, roadmapAbstract
We present a 2023 roadmap for trustworthy semantic enrichment that operationalizes a decade of research and deployment experience. Building on the bibliometric perspective of [1], we argue that production systems converge on five layers: (1) detection, (2) candidate generation, (3) cross-encoder linking, (4) calibration and selective prediction, and (5) human-in-the-loop (HITL) curation and governance. Beyond architecture, reliability and operations determine impact: calibrated probabilities enable auditable thresholds; coverage-at-precision connects model settings to service levels; and rationale-first, keyboard-forward review UIs increase throughput without sacrificing quality. We contribute a compact architecture, a reliability playbook, capacity-aware thresholding, and figure/table templates for reproducible reporting. Evaluation on representative setups indicates substantial improvements in coverage at fixed precision and smoother backlogs after calibration and queue shaping.
