{"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/content-selection-in-deep-learning-models-of","title":"Content Selection in Deep Learning Models of Summarization","arxiv_id":"1810.12343","date":"2018-10-29","proceeding":"EMNLP 2018 10","authors":["Chris Kedzie","Kathleen McKeown","Hal Daume III"],"abstract":"We carry out experiments with deep learning models of summarization across\nthe domains of news, personal stories, meetings, and medical articles in order\nto understand how content selection is performed. We find that many\nsophisticated features of state of the art extractive summarizers do not\nimprove performance over simpler models. These results suggest that it is\neasier to create a summarizer for a new domain than previous work suggests and\nbring into question the benefit of deep learning models for summarization for\nthose domains that do have massive datasets (i.e., news). At the same time,\nthey suggest important questions for new research in summarization; namely, new\nforms of sentence representations or external knowledge sources are needed that\nare better suited to the summarization task.","url_abs":"http://arxiv.org/abs/1810.12343v2","url_pdf":"http://arxiv.org/pdf/1810.12343v2.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":"content-selection-in-deep-learning-models-of","repo_url":"https://github.com/kedz/nnsum","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"content-selection-in-deep-learning-models-of","repo_url":"https://github.com/haoshuai999/News-summarization","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.12343","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}