Process / pipeline
跨文档实体追踪 — 跨文档共指消解
跨文档实体追踪，正式名称为跨文档共指消解，旨在识别并合并分散在文档集合中指向同一现实世界实体的所有提及。该方法根植于 Bagga 和 Baldwin (1998) 提出的 B3 评估框架，并由 Barhom 等人 (2019) 的神经联合模型得到显著发展，它构建了跨越文档边界的实体簇，从而实现多文档理解、知识库填充和语料库范围内的实体分析。
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来源
- Bagga, A. & Baldwin, B. (1998). Algorithms for Scoring Coreference Chains. In Proceedings of the LREC 1998 Linguistic Coreference Workshop, pp. 563–566. link ↗
- Barhom, S., Shwartz, V., Eirew, A., Bugert, M., Reimers, N. & Dagan, I. (2019). Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 4179–4189. link ↗
如何引用本页
ScholarGate. (2026, June 1). Cross-Document Entity Coreference Resolution and Tracking. ScholarGate. https://scholargate.app/zh/text-mining/cross-document-entity-tracking
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