方法证据记录
Entity Linking
Entity linking is a natural-language-processing task that matches ambiguous entity mentions in text — people, places, organisations — to the correct record in a knowledge base such as Wikidata, DBpedia, or a domain dictionary. Surveyed and shaped by Milne and Witten (2008) and later neural approaches reviewed by Sevgili and colleagues (2022), it grounds free text into structured, unambiguous references used in knowledge-graph building and multi-source text analysis.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Entity Linking (Named Entity Disambiguation)
分类方法记录 · process-pipeline / text-mining
- Milne, D. & Witten, I.H. (2008). Learning to Link with Wikipedia. CIKM (Proceedings of the 17th ACM Conference on Information and Knowledge Management). · DOI 10.1145/1458082.1458150
- Sevgili, O., Shelmanov, A., Arkhipov, M., Panchenko, A. & Biemann, C. (2022). Neural Entity Linking: A Survey of Models Based on Deep Learning. ACM Computing Surveys. · DOI 10.3233/SW-222986
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