{"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/iit-bhu-varanasi-at-msr-srst-2018-a-language-1","title":"IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation","arxiv_id":"1904.06234","date":"2019-04-12","proceeding":"WS 2018 7","authors":["Shreyansh Singh","Avi Chawla","Ayush Sharma","Anil Kumar Singh"],"abstract":"This paper describes our submission system for the Shallow Track of Surface\nRealization Shared Task 2018 (SRST'18). The task was to convert genuine UD\nstructures, from which word order information had been removed and the tokens\nhad been lemmatized, into their correct sentential form. We divide the problem\nstatement into two parts, word reinflection and correct word order prediction.\nFor the first sub-problem, we use a Long Short Term Memory based\nEncoder-Decoder approach. For the second sub-problem, we present a Language\nModel (LM) based approach. We apply two different sub-approaches in the LM\nBased approach and the combined result of these two approaches is considered as\nthe final output of the system.","url_abs":"http://arxiv.org/abs/1904.06234v1","url_pdf":"http://arxiv.org/pdf/1904.06234v1.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":"iit-bhu-varanasi-at-msr-srst-2018-a-language-1","repo_url":"https://github.com/shreyansh26/SRST-18","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"language-modeling","task_name":"Language Modeling"},{"task_slug":"language-modelling","task_name":"Language Modelling"},{"task_slug":"text-generation","task_name":"Text Generation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}