{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/sentence-bert-sentence-embeddings-using","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","arxiv_id":"1908.10084","date":"2019-08-27","proceeding":"IJCNLP 2019 11","authors":["Nils Reimers","Iryna Gurevych"],"abstract":"BERT (Devlin et al., 2018) and RoBERTa (Liu et al., 2019) has set a new state-of-the-art performance on sentence-pair regression tasks like semantic textual similarity (STS). However, it requires that both sentences are fed into the network, which causes a massive computational overhead: Finding the most similar pair in a collection of 10,000 sentences requires about 50 million inference computations (~65 hours) with BERT. The construction of BERT makes it unsuitable for semantic similarity search as well as for unsupervised tasks like clustering. In this publication, we present Sentence-BERT (SBERT), a modification of the pretrained BERT network that use siamese and triplet network structures to derive semantically meaningful sentence embeddings that can be compared using cosine-similarity. This reduces the effort for finding the most similar pair from 65 hours with BERT / RoBERTa to about 5 seconds with SBERT, while maintaining the accuracy from BERT. We evaluate SBERT and SRoBERTa on common STS tasks and transfer learning tasks, where it outperforms other state-of-the-art sentence embeddings methods.","url_abs":"https://arxiv.org/abs/1908.10084v1","url_pdf":"https://arxiv.org/pdf/1908.10084v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/UKPLab/sentence-transformers","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/Alexey-Borisov/3_course_diary","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/AnzorGozalishvili/sentence_transformers_serving","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/BM-K/KoSentenceBERT","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/BM-K/KoSentenceBERT_ETRI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/BM-K/KoSentenceBERT_SKT","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/BM-K/KoSentenceBERT_SKTBERT","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/BinWang28/BERT_Sentence_Embedding","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/BinWang28/SBERT-WK-Sentence-Embedding","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/ClaudiuChelcea/2NHACK2021-CoverLetter-Generator-ML","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/Danqi7/584-final","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/FreddeFrallan/Contrastive-Tension","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/InsaneLife/dssm","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/RaviTejaMaddhini/SBERT-Tensorflow-implementation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/Siamul/NLP-Project","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/Susheel-1999/Sentence_Similarity","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/TheNeuromancer/SentEmb","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/Walid-Rahman2/modified_sentence_transfomers","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/aneesha/SiameseBERT-Notebook","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/asgaardlab/test-case-similarity-technique","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"sentence-bert-sentence-embeddings-using","repo_url":"https://github.com/asreview/asreview-multilingual-feature-extractor","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","rea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