{"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/exploring-neural-text-simplification-models","title":"Exploring Neural Text Simplification Models","arxiv_id":null,"date":"2017-07-01","proceeding":"ACL 2017 7","authors":["Sergiu Nisioi","Sanja {\\v{S}}tajner","Simone Paolo Ponzetto","Liviu P. Dinu"],"abstract":"We present the first attempt at using sequence to sequence neural networks to model text simplification (TS). Unlike the previously proposed automated TS systems, our neural text simplification (NTS) systems are able to simultaneously perform lexical simplification and content reduction. An extensive human evaluation of the output has shown that NTS systems achieve almost perfect grammaticality and meaning preservation of output sentences and higher level of simplification than the state-of-the-art automated TS systems","url_abs":"https://aclanthology.org/P17-2014","url_pdf":"https://aclanthology.org/P17-2014.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":"exploring-neural-text-simplification-models","repo_url":"https://github.com/senisioi/NeuralTextSimplification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"torch","reach":null}],"tasks":[{"task_slug":"lexical-simplification","task_name":"Lexical Simplification"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"text-simplification","task_name":"Text Simplification"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[{"method_slug":"ts","method_name":"TS"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/text-simplification-on-turkcorpus","task":"Text Simplification","dataset":"TurkCorpus","model":"NTS-SARI","rank_in_archive_order":14,"of":25,"metrics":{"BLEU":"80.69","SARI (EASSE>=0.2.1)":"37.25"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}