{"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/structured-interpretation-of-temporal","title":"Structured Interpretation of Temporal Relations","arxiv_id":"1808.07599","date":"2018-08-23","proceeding":"LREC 2018 5","authors":["Yuchen Zhang","Nianwen Xue"],"abstract":"Temporal relations between events and time expressions in a document are\noften modeled in an unstructured manner where relations between individual\npairs of time expressions and events are considered in isolation. This often\nresults in inconsistent and incomplete annotation and computational modeling.\nWe propose a novel annotation approach where events and time expressions in a\ndocument form a dependency tree in which each dependency relation corresponds\nto an instance of temporal anaphora where the antecedent is the parent and the\nanaphor is the child. We annotate a corpus of 235 documents using this approach\nin the two genres of news and narratives, with 48 documents doubly annotated.\nWe report a stable and high inter-annotator agreement on the doubly annotated\nsubset, validating our approach, and perform a quantitative comparison between\nthe two genres of the entire corpus. We make this corpus publicly available.","url_abs":"http://arxiv.org/abs/1808.07599v1","url_pdf":"http://arxiv.org/pdf/1808.07599v1.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":"structured-interpretation-of-temporal","repo_url":"https://github.com/yuchenz/structured_temporal_relations_corpus","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"structured-interpretation-of-temporal","repo_url":"https://github.com/bnmin/tdp_ranking","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1808.07599","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}