Machine learningDeep learning / NLP / CV

Slaba nadzirana Word2Vec

Slaba nadzirana Word2Vec trenira ugradnje (embeddings) u stilu Word2Vec koristeći automatski generirane, bučne ili heurističke oznake umjesto skupog ručnog označavanja. Korištenjem funkcija označavanja, udaljene supervizije ili pravila temeljenih na ključnim riječima za dodjelu mekih oznaka, pristup omogućuje prilagođene reprezentacije riječi za domenu čak i kada veliki ručno označeni korpusi nisu dostupni.

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Izvori

  1. Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013). Distributed representations of words and phrases and their compositionality. Advances in Neural Information Processing Systems, 26. link
  2. Ratner, A. J., De Sa, C. M., Wu, S., Selsam, D., & Re, C. (2016). Data programming: Creating large training sets, quickly. Advances in Neural Information Processing Systems, 29. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Weakly Supervised Word2Vec (Word Embeddings with Weak Supervision). ScholarGate. https://scholargate.app/hr/deep-learning/weakly-supervised-word2vec

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ScholarGateWeakly supervised Word2Vec (Weakly Supervised Word2Vec (Word Embeddings with Weak Supervision)). Preuzeto 2026-06-15 s https://scholargate.app/hr/deep-learning/weakly-supervised-word2vec · Skup podataka: https://doi.org/10.5281/zenodo.20539026