HIPE-2026评估活动侧重于从多语言历史文本中提取人地关系，该活动建立在之前专注于命名实体识别的HIPE版本之上。今年的挑战涉及识别两种时间关系：‘$at$’（人物在出版前曾在某地）和‘$isAt$’（人物在出版时曾在某地）。评估考虑了19世纪和20世纪以及早期现代法语文学的法语、德语和英语文本的准确性、计算效率和跨领域泛化能力。 AI
影响 这项研究推进了从历史文本中提取结构化信息的方法，有可能改进知识图谱构建和数字人文研究。
排序理由 该集群描述了一项学术评估活动及其相关研究论文的结果。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
arXiv:2606.25935v1 Announce Type: new Abstract: Was this person ever at that place, and if so, when? Answering such questions from noisy, multilingual historical documents is the central challenge of HIPE-2026, the third edition of the HIPE evaluation series. Moving from named en…
arXiv:2602.17663v2 Announce Type: replace-cross Abstract: 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 …
Was this person ever at that place, and if so, when? Answering such questions from noisy, multilingual historical documents is the central challenge of HIPE-2026, the third edition of the HIPE evaluation series. Moving from named entity recognition and linking (HIPE-2020, HIPE-20…