HIPE-2022
PulseAugur coverage of HIPE-2022 — every cluster mentioning HIPE-2022 across labs, papers, and developer communities, ranked by signal.
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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…
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LLMs show promise for recognizing entities in historical texts
Researchers have explored the use of large language models (LLMs) for Named Entity Recognition (NER) in historical texts, a task traditionally requiring extensive annotated data. Utilizing zero-shot and few-shot prompti…