{"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/a-temporally-sensitive-submodularity","title":"A Temporally Sensitive Submodularity Framework for Timeline Summarization","arxiv_id":"1810.07949","date":"2018-10-18","proceeding":"CONLL 2018 10","authors":["Sebastian Martschat","Katja Markert"],"abstract":"Timeline summarization (TLS) creates an overview of long-running events via\ndated daily summaries for the most important dates. TLS differs from standard\nmulti-document summarization (MDS) in the importance of date selection,\ninterdependencies between summaries of different dates and by having very short\nsummaries compared to the number of corpus documents. However, we show that MDS\noptimization models using submodular functions can be adapted to yield\nwell-performing TLS models by designing objective functions and constraints\nthat model the temporal dimension inherent in TLS. Importantly, these\nadaptations retain the elegance and advantages of the original MDS models\n(clear separation of features and inference, performance guarantees and\nscalability, little need for supervision) that current TLS-specific models\nlack. An open-source implementation of the framework and all models described\nin this paper is available online.","url_abs":"http://arxiv.org/abs/1810.07949v1","url_pdf":"http://arxiv.org/pdf/1810.07949v1.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":"a-temporally-sensitive-submodularity","repo_url":"https://github.com/smartschat/tilse","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"document-summarization","task_name":"Document Summarization"},{"task_slug":"multi-document-summarization","task_name":"Multi-Document Summarization"},{"task_slug":"timeline-summarization","task_name":"Timeline Summarization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.07949","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1810.07949"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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