HIPE-2026
PulseAugur coverage of HIPE-2026 — every cluster mentioning HIPE-2026 across labs, papers, and developer communities, ranked by signal.
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Lightweight system extracts person-place relations from historical newspapers
Researchers from DS@GT HIPE have developed a lightweight system for extracting person-place relationships from historical newspapers, focusing on interpretability and efficiency. Their approach utilizes dependency graph…
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DistilledGemma system achieves high accuracy in person-place relation extraction · 2 sources tracked
Researchers have developed DistilledGemma, an efficient system for extracting person-place relationships from multilingual historical articles, achieving a 0.688 mean score in the HIPE-2026 shared task. The system emplo…
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HIPE-2026 evaluates person-place relation extraction from historical texts · 3 sources tracked
The HIPE-2026 evaluation campaign focused on extracting person-place relationships from multilingual historical texts, building upon previous HIPE editions that concentrated on named entity recognition. This year's chal…