NarrativeTime: Dense Temporal Annotation on a Timeline

[1908.11443] NarrativeTime: Dense Temporal Annotation on a Timeline Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Computation and Language arXiv:1908.11443 (cs) [Submitted on 29 Aug 2019 ( v1 ), last revised 22 Dec 2022 (this version, v2)] Title: NarrativeTime: Dense Temporal Annotation on a Timeline Authors: Anna Rogers , Marzena Karpinska , Ankita Gupta , Vladislav Lialin , Gregory Smelkov , Anna Rumshisky View a PDF of the paper titled NarrativeTime: Dense Temporal Annotation on a Timeline, by Anna Rogers and 5 other authors View PDF HTML (experimental) Abstract: For the past decade, temporal annotation has been sparse: only a small portion of event pairs in a text was annotated. We present NarrativeTime, the first timeline-based annotation framework that achieves full coverage of all possible TLinks. To compare with the previous SOTA in dense temporal annotation, we perform full re-annotation of TimeBankDense corpus, which shows comparable agreement with a significant increase in density. We contribute TimeBankNT corpus (with each text fully annotated by two expert annotators), extensive annotation guidelines, open-source tools for annotation and conversion to TimeML format, baseline results, as well as quantitative and qualitative analysis of inter-annotator agreement. Subjects: Computation and Language (cs.CL) Report number: LREC 2024 Cite as: arXiv:1908.11443 [cs.CL] (or arXiv:1908.11443v2 [cs.CL] for this version) https://doi.org/10.48550/arXiv.1908.11443 Focus to learn more arXiv-issued DOI via DataCite Journal reference: https://aclanthology.org/2024.lrec-main.1054/ Submission history From: Anna Rogers [ view email ] [v1] Thu, 29 Aug 2019 20:09:27 UTC (981 KB) [v2] Thu, 22 Dec 2022 14:34:31 UTC (651 KB) Full-text links: Access Paper: View a PDF of the paper titled NarrativeTime: Dense Temporal Annotation on a Timeline, by Anna Rogers and 5 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CL < prev | next > new | recent | 2019-08 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar DBLP - CS Bibliography listing | bibtex Anna Rogers Anna Rumshisky export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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