{"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/persian-keyphrase-generation-using-sequence","title":"Persian Keyphrase Generation Using Sequence-to-Sequence Models","arxiv_id":"2009.12271","date":"2020-09-25","proceeding":null,"authors":["Ehsan Doostmohammadi","Mohammad Hadi Bokaei","Hossein Sameti"],"abstract":"Keyphrases are a very short summary of an input text and provide the main subjects discussed in the text. Keyphrase extraction is a useful upstream task and can be used in various natural language processing problems, for example, text summarization and information retrieval, to name a few. However, not all the keyphrases are explicitly mentioned in the body of the text. In real-world examples there are always some topics that are discussed implicitly. Extracting such keyphrases requires a generative approach, which is adopted here. In this paper, we try to tackle the problem of keyphrase generation and extraction from news articles using deep sequence-to-sequence models. These models significantly outperform the conventional methods such as Topic Rank, KPMiner, and KEA in the task of keyphrase extraction.","url_abs":"https://arxiv.org/abs/2009.12271v1","url_pdf":"https://arxiv.org/pdf/2009.12271v1.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":"persian-keyphrase-generation-using-sequence","repo_url":"https://github.com/edoost/perkey","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"information-retrieval","task_name":"Information Retrieval"},{"task_slug":"keyphrase-extraction","task_name":"Keyphrase Extraction"},{"task_slug":"keyphrase-generation","task_name":"Keyphrase Generation"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"text-summarization","task_name":"Text Summarization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}