Sentence-BERT adapts BERT with siamese and triplet networks to produce sentence embeddings for efficient cosine-similarity comparisons, cutting computation time from hours to seconds on similarity search while matching BERT accuracy.
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks
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Compares supervised architectures for political text scaling to evaluate joint prediction benefits and classification-regression middle grounds.
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT adapts BERT with siamese and triplet networks to produce sentence embeddings for efficient cosine-similarity comparisons, cutting computation time from hours to seconds on similarity search while matching BERT accuracy.
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Comparing Architectures for Supervised Political Scaling
Compares supervised architectures for political text scaling to evaluate joint prediction benefits and classification-regression middle grounds.