{"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/unsupervised-learning-of-sentence-embeddings","title":"Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features","arxiv_id":"1703.02507","date":"2017-03-07","proceeding":"NAACL 2018 6","authors":["Matteo Pagliardini","Prakhar Gupta","Martin Jaggi"],"abstract":"The recent tremendous success of unsupervised word embeddings in a multitude\nof applications raises the obvious question if similar methods could be derived\nto improve embeddings (i.e. semantic representations) of word sequences as\nwell. We present a simple but efficient unsupervised objective to train\ndistributed representations of sentences. Our method outperforms the\nstate-of-the-art unsupervised models on most benchmark tasks, highlighting the\nrobustness of the produced general-purpose sentence embeddings.","url_abs":"http://arxiv.org/abs/1703.02507v3","url_pdf":"http://arxiv.org/pdf/1703.02507v3.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":"unsupervised-learning-of-sentence-embeddings","repo_url":"https://github.com/epfml/sent2vec","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"unsupervised-learning-of-sentence-embeddings","repo_url":"https://github.com/SimengSun/CIS530-project","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"unsupervised-learning-of-sentence-embeddings","repo_url":"https://github.com/celento/sent2vec","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"unsupervised-learning-of-sentence-embeddings","repo_url":"https://github.com/chalothon/Sentence2Vec","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"unsupervised-learning-of-sentence-embeddings","repo_url":"https://github.com/dantetam/twitterServerAuth","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentence-embeddings","task_name":"Sentence Embeddings"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1703.02507","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}