ScholarGate
Msaidizi
Machine learningDeep learning / NLP / CV

Utambuzi wa Jina la Eneo-lililobadilishwa

Utambuzi wa Jina la Eneo-lililobadilishwa (DA-NER) hutumia utambuzi wa jina la eneo katika eneo lengwa kwa kuhamisha au kubadilisha modeli iliyofunzwa katika eneo chanzo, kwa kutumia mbinu kama vile mafunzo ya awali maalum kwa eneo, ulinganifu wa kiadui, au nyongeza ya vipengele. Inashughulikia kuporomoka kwa utendaji ambao modeli za kawaida za NER hupata zinapotumiwa nje ya eneo lao la mafunzo.

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Vyanzo

  1. Lee, J., Yoon, W., Kim, S., Kim, D., Kim, S., So, C. H., & Kang, J. (2020). BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics, 36(4), 1234–1240. DOI: 10.1093/bioinformatics/btz682
  2. Blitzer, J., McDonald, R., & Pereira, F. (2006). Domain adaptation with structural correspondence learning. Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP), 120–128. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Domain-adaptive Named Entity Recognition (DA-NER). ScholarGate. https://scholargate.app/sw/deep-learning/domain-adaptive-named-entity-recognition

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Imerejelewa na

ScholarGateDomain-adaptive Named Entity Recognition (Domain-adaptive Named Entity Recognition (DA-NER)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/domain-adaptive-named-entity-recognition · Seti ya data: https://doi.org/10.5281/zenodo.20539026