WebCompared with existing SOTA SSL methods on TextCNN, FLiText improves the accuracy of lightweight model TextCNN from 51.00% to 90.49% on IMDb, 39.8% to 58.06% on Yelp-5, and from 55.3% to 65.08% on Yahoo! Answer. In addition, compared with the fully supervised method on the full dataset, FLiText just uses less than 1% of labeled data to … WebJan 20, 2024 · Bibliographic details on FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks. We are hiring! Would you like to contribute to the development of the national research data infrastructure NFDI …
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WebGithub Stars Date Published Github Stars. FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks. 1 code implementation • EMNLP 2024 • Chen Liu , Mengchao Zhang ... WebAs a result, FLiText obtains new SOTA performance for lightweight models across multiple SSL benchmarks on text classification. Compared with existing SOTA SSL methods on TextCNN, FLiText improves the accuracy of lightweight model TextCNN from 51.00% to 90.49% on IMDb, 39.8% to 58.06% on Yelp-5, and from 55.3% to 65.08% on Yahoo! … Web270 merged the generated antonymous samples into the original training set, and ignored the one-to-one correspondence between the antonymous and fixit power tools limited