{"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/bringing-structure-into-summaries","title":"Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps","arxiv_id":"1704.04452","date":"2017-04-14","proceeding":"EMNLP 2017 9","authors":["Tobias Falke","Iryna Gurevych"],"abstract":"Concept maps can be used to concisely represent important information and\nbring structure into large document collections. Therefore, we study a variant\nof multi-document summarization that produces summaries in the form of concept\nmaps. However, suitable evaluation datasets for this task are currently\nmissing. To close this gap, we present a newly created corpus of concept maps\nthat summarize heterogeneous collections of web documents on educational\ntopics. It was created using a novel crowdsourcing approach that allows us to\nefficiently determine important elements in large document collections. We\nrelease the corpus along with a baseline system and proposed evaluation\nprotocol to enable further research on this variant of summarization.","url_abs":"http://arxiv.org/abs/1704.04452v2","url_pdf":"http://arxiv.org/pdf/1704.04452v2.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":"bringing-structure-into-summaries","repo_url":"https://github.com/UKPLab/emnlp2017-cmapsum-corpus","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"document-summarization","task_name":"Document Summarization"},{"task_slug":"multi-document-summarization","task_name":"Multi-Document Summarization"}],"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}