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Machine learningDeep learning / NLP / CV

Poolitatud lausendite manustused

Poolitatud lausendite manustused kombineerivad väikese hulga märgistatud lausendipaare suure hulga märgistamata tekstiga, et treenida tihedaid vektorkujutisi lausenditest. Ärakasutades rikkalikult märgistamata andmeid kontrastiivsete eesmärkide või pseudo-märgistamise kaudu, toodavad need mudelid kõrge kvaliteediga manustusi semantilise sarnasuse, otsingu ja klassifitseerimise jaoks isegi siis, kui märgistatud andmeid on vähe.

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Loe meetodi täielikku kirjeldust

Ainult liikmetele

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Logi sisse

Method map

The neighbourhood of related methods — select a node to explore.

Allikad

  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

Kuidas sellele lehele viidata

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

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Sellele viitavad

ScholarGateSemi-supervised Sentence Embeddings (Semi-supervised Sentence Embeddings (Contrastive and Self-training Approaches)). Loetud 2026-06-15 aadressilt https://scholargate.app/et/deep-learning/semi-supervised-sentence-embeddings · Andmestik: https://doi.org/10.5281/zenodo.20539026