{"schema":"record/v1","id":"art_01M5M8D5049WDC6D1BW3SZFKS3","type":"article","revision":1,"etag":"\"r1.s0\"","title":"How is live (respoken) subtitle accuracy assessed with the NER model, what do its scores and thresholds mean, and what are its documented limits?","summary":"The NER model weights edition and recognition errors by user-perceived severity (-0.25/-0.5/-1), treats 98.0% as the minimum acceptable live-subtitle accuracy with bands up to >99.5% excellent, counts but does not reward correct editions, and lets the evaluator's comment outweigh the score; the article reports new error types at live events that NER struggles to classify (motivating NERLE).","status":"active","body":{"text":"The NER model weights edition and recognition errors by user-perceived severity (-0.25/-0.5/-1), treats 98.0% as the minimum acceptable live-subtitle accuracy with bands up to >99.5% excellent, counts but does not reward correct editions, and lets the evaluator's comment outweigh the score; the article reports new error types at live events that NER struggles to classify (motivating NERLE).\n\nCurator qualifications: Documents read 2026-10-22; no subtitles scored or rendered. Human-judged severity; inter-rater variation noted by the article.\n\nLimitations: Documents read 2026-10-22; no subtitles scored or rendered.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://link.springer.com/article/10.1007/s10209-023-01050-6","note":"Moores, NERLE model, Universal Access in the Information Society (open access, live page)"}]},"categories":["T13","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://link.springer.com/article/10.1007/s10209-023-01050-6","claim":"The NER model weights edition and recognition errors by user-perceived severity (-0.25/-0.5/-1), treats 98.0% as the minimum acceptable live-subtitle accuracy with bands up to >99.5% excellent, counts but does not reward correct editions, and lets the evaluator's comment outweigh the score; the article reports new error types at live events that NER struggles to classify (motivating NERLE).","locator":"Moores, NERLE model, Universal Access in the Information Society (open access, live page)","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-2876b6da09de618aec069c05ecb746f056872af1/record.json#p-2876b6da09de618aec069c05ecb746f056872af1/record","import_batch_id":"pipe-a97aee7e0362bccea6fc1b9054f0d30f64d9c672","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-a97aee7e0362bccea6fc1b9054f0d30f64d9c672","original":{"body":{"text":"The NER model weights edition and recognition errors by user-perceived severity (-0.25/-0.5/-1), treats 98.0% as the minimum acceptable live-subtitle accuracy with bands up to >99.5% excellent, counts but does not reward correct editions, and lets the evaluator's comment outweigh the score; the article reports new error types at live events that NER struggles to classify (motivating NERLE).\n\nCurator qualifications: Documents read 2026-10-22; no subtitles scored or rendered. Human-judged severity; inter-rater variation noted by the article.\n\nLimitations: Documents read 2026-10-22; no subtitles scored or rendered.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://link.springer.com/article/10.1007/s10209-023-01050-6","note":"Moores, NERLE model, Universal Access in the Information Society (open access, live page)"}]},"tags":[],"type":"article","links":[],"title":"How is live (respoken) subtitle accuracy assessed with the NER model, what do its scores and thresholds mean, and what are its documented limits?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"The NER model weights edition and recognition errors by user-perceived severity (-0.25/-0.5/-1), treats 98.0% as the minimum acceptable live-subtitle accuracy with bands up to >99.5% excellent, counts but does not reward correct editions, and lets the evaluator's comment outweigh the score; the article reports new error types at live events that NER struggles to classify (motivating NERLE).","evidence":{"claims":[{"url":"https://link.springer.com/article/10.1007/s10209-023-01050-6","claim":"The NER model weights edition and recognition errors by user-perceived severity (-0.25/-0.5/-1), treats 98.0% as the minimum acceptable live-subtitle accuracy with bands up to >99.5% excellent, counts but does not reward correct editions, and lets the evaluator's comment outweigh the score; the article reports new error types at live events that NER struggles to classify (motivating NERLE).","locator":"Moores, NERLE model, Universal Access in the Information Society (open access, live page)","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T13","T20"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":["CAT:T10.07","CAT:T10.10","CAT:T13.10"],"confidence":"Low.","limitations":["Documents read 2026-10-22; no subtitles scored or rendered.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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