{"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/text-summarization-using-abstract-meaning","title":"Text Summarization using Abstract Meaning Representation","arxiv_id":"1706.01678","date":"2017-06-06","proceeding":null,"authors":["Shibhansh Dohare","Harish Karnick","Vivek Gupta"],"abstract":"With an ever increasing size of text present on the Internet, automatic\nsummary generation remains an important problem for natural language\nunderstanding. In this work we explore a novel full-fledged pipeline for text\nsummarization with an intermediate step of Abstract Meaning Representation\n(AMR). The pipeline proposed by us first generates an AMR graph of an input\nstory, through which it extracts a summary graph and finally, generate summary\nsentences from this summary graph. Our proposed method achieves\nstate-of-the-art results compared to the other text summarization routines\nbased on AMR. We also point out some significant problems in the existing\nevaluation methods, which make them unsuitable for evaluating summary quality.","url_abs":"http://arxiv.org/abs/1706.01678v3","url_pdf":"http://arxiv.org/pdf/1706.01678v3.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":"text-summarization-using-abstract-meaning","repo_url":"https://github.com/shibhansh/Unsupervised-SAS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"text-summarization-using-abstract-meaning","repo_url":"https://github.com/vgupta123/Unsupervised-SAS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"abstract-meaning-representation","task_name":"Abstract Meaning Representation"},{"task_slug":"natural-language-understanding","task_name":"Natural Language Understanding"},{"task_slug":"text-summarization","task_name":"Text Summarization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1706.01678","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}