ScholarGate
Msaidizi
Machine learningDeep learning / NLP / CV

Uingizaji wa Sentensi Uliosaidika kwa Nusu

Semi-supervised sentence embeddings huchang mchanganyiko wa seti ndogo ya jozi za sentensi zilizo na lebo na kiasi kikubwa cha maandishi yasiyo na lebo ili kufunza uwakilishi wa mnene wa vekta wa sentensi. Kwa kutumia data nyingi zisizo na lebo kupitia malengo ya kulinganisha au uwekaji lebo bandia, miundo hii hutoa uingizaji wa ubora wa juu kwa mlingano wa maana, utafutaji, na uainishaji hata pale data iliyo na lebo inapokuwa adimu.

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Vyanzo

  1. Gao, T., Yao, X., & Chen, D. (2021). SimCSE: Simple Contrastive Learning of Sentence Embeddings. In Proceedings of EMNLP 2021 (pp. 6894–6910). Association for Computational Linguistics. DOI: 10.18653/v1/2021.emnlp-main.552
  2. Reimers, N., & Gurevych, I. (2019). Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In Proceedings of EMNLP-IJCNLP 2019 (pp. 3982–3992). Association for Computational Linguistics. DOI: 10.18653/v1/D19-1410

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Semi-supervised Sentence Embeddings (Contrastive and Self-training Approaches). ScholarGate. https://scholargate.app/sw/deep-learning/semi-supervised-sentence-embeddings

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Imerejelewa na

ScholarGateSemi-supervised Sentence Embeddings (Semi-supervised Sentence Embeddings (Contrastive and Self-training Approaches)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/semi-supervised-sentence-embeddings · Seti ya data: https://doi.org/10.5281/zenodo.20539026