Machine learningDeep learning / NLP / CV
Sentence Embeddings
Sentence Embeddings convert a sentence or short text into a single fixed-length dense vector that captures its semantic meaning. These vectors allow downstream tasks — semantic similarity, clustering, retrieval, and classification — to operate on numerical representations instead of raw text, making them one of the most versatile building blocks in modern NLP pipelines.
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Sources
- Reimers, N., & Gurevych, I. (2019). Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 3980–3990. DOI: 10.18653/v1/D19-1410 ↗
- Kiros, R., Zhu, Y., Salakhutdinov, R., Zemel, R. S., Torralba, A., Urtasun, R., & Fidler, S. (2015). Skip-Thought Vectors. Advances in Neural Information Processing Systems (NeurIPS), 28. link ↗
Related methods
Referenced by
BERT-based ClassificationDomain-adaptive BERT-based ClassificationDomain-adaptive sentence embeddingsDomain-adaptive Sentiment AnalysisDomain-adaptive Word2VecExplainable BERT-based ClassificationExplainable NMF Topic ModelExplainable Question AnsweringExplainable RoBERTa-based ClassificationExplainable Sentence EmbeddingsExplainable Sentiment AnalysisExplainable Text SummarizationExplainable Topic ModelingFine-Tuned BERT-based ClassificationFine-Tuned Doc2VecFine-Tuned LDA Topic ModelFine-Tuned Question AnsweringFine-Tuned RoBERTa-based ClassificationFine-Tuned Sentence EmbeddingsFine-Tuned Text SummarizationFine-Tuned Topic ModelingFine-Tuned Word2VecLDA Topic ModelLong Short-Term MemoryMultilingual Doc2VecMultilingual Sentence EmbeddingsMultilingual Sentiment AnalysisMultilingual text summarizationMultilingual TransformerMultimodal Doc2VecMultimodal RoBERTa-based ClassificationMultimodal TransformerMultimodal Word2VecNMF Topic ModelRoBERTa-based ClassificationSelf-supervised LDA Topic ModelSelf-supervised Sentence EmbeddingsSelf-supervised topic modelingSelf-supervised TransformerSemi-supervised LDA Topic ModelSemi-supervised NMF Topic ModelSemi-supervised Sentence EmbeddingsSemi-supervised Word2VecTopic ModelingTransfer Learning with BERT-based ClassificationTransfer Learning with Named Entity RecognitionTransfer Learning with Sentence EmbeddingsTransfer Learning with Text SummarizationTransfer Learning with Topic ModelingTransfer Learning with Word2VecWeakly supervised LDA topic modelWeakly supervised sentence embeddingsWeakly supervised Word2Vec