Rekodi ya ushahidi wa mbinu

Domain-adaptive BERT-based Classification

Domain-adaptive BERT-based classification extends the standard fine-tuning pipeline by first continuing BERT's masked-language-model pre-training on a large corpus of in-domain unlabeled text, then fine-tuning the adapted model on labeled examples for the target classification task. This two-stage approach closes the vocabulary and distributional gap between BERT's general pre-training corpus and specialized domains such as biomedicine, law, finance, or social-media text.

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Rekodi ya chanzo

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Domain-Adaptive Pre-training with BERT for Text Classification

Rekodi ya mbinu ya kiajenda · ml-model / deep-learning

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Mbinu zinazohusiana

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Taxonomic bucketBERT-based Classificationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDomain-adaptive transformermachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFine-Tuned BERT-based Classificationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRoBERTa-based Classificationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSentence Embeddingsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTransfer Learning with BERT-based Classificationmachine-suggested · Relational suggestion, not evidence.