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Domeeni-kohanduv Doc2Vec

Domeeni-kohanduv Doc2Vec kohandab Paragraph Vector (Doc2Vec) raamistikku nii, et allikadomeenil õpitud dokumendi esitused kanduksid tõhusalt sihtdomeeni. Esitusruumi domeenide vahel kohandades treeningu ajal või pärast seda, toodab mudel esitusi, mis on informatiivsed mõlemas, võimaldades domeenidevahelist klassifitseerimist, tundeanalüüsi ja otsingut piiratud sihtdomeeni siltidega.

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Allikad

  1. Le, Q. V., & Mikolov, T. (2014). Distributed representations of sentences and documents. Proceedings of the 31st International Conference on Machine Learning (ICML 2014), PMLR 32(2), 1188–1196. link
  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 2006), 120–128. DOI: 10.3115/1610075.1610094

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Domain-Adaptive Paragraph Vector (Doc2Vec) for Cross-Domain Document Representation. ScholarGate. https://scholargate.app/et/deep-learning/domain-adaptive-doc2vec

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ScholarGateDomain-adaptive Doc2Vec (Domain-Adaptive Paragraph Vector (Doc2Vec) for Cross-Domain Document Representation). Loetud 2026-06-15 aadressilt https://scholargate.app/et/deep-learning/domain-adaptive-doc2vec · Andmestik: https://doi.org/10.5281/zenodo.20539026