Korean-first, multilingual (ko · ja · en). 281M parameters · p50 27.8 ms. Elda-Intenter reads an utterance and returns, in one forward pass, four aligned channels: what the speaker is doing (speech act), what they are talking about (entities), and the attribute/predicate structure that binds them. It is not a general-purpose NER model. It is the perception layer of a live conversational system, built for the constraint that shapes everything else in that setting: latency budgets measured in tens of milliseconds. All figures below are on sets excluded from training by construction. KLUE-NER (dev, Korean · 600 sentences / 1,687 gold entities), entity-level F1: Korean particles attach to the…
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Elda
Elda-AI
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