{"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/text-annotation-graphs-annotating-complex","title":"Text Annotation Graphs: Annotating Complex Natural Language Phenomena","arxiv_id":"1711.00529","date":"2017-11-01","proceeding":"LREC 2018 5","authors":["Angus G. Forbes","Kristine Lee","Gus Hahn-Powell","Marco A. Valenzuela-Escárcega","Mihai Surdeanu"],"abstract":"This paper introduces a new web-based software tool for annotating text, Text\nAnnotation Graphs, or TAG. It provides functionality for representing complex\nrelationships between words and word phrases that are not available in other\nsoftware tools, including the ability to define and visualize relationships\nbetween the relationships themselves (semantic hypergraphs). Additionally, we\ninclude an approach to representing text annotations in which annotation\nsubgraphs, or semantic summaries, are used to show relationships outside of the\nsequential context of the text itself. Users can use these subgraphs to quickly\nfind similar structures within the current document or external annotated\ndocuments. Initially, TAG was developed to support information extraction tasks\non a large database of biomedical articles. However, our software is flexible\nenough to support a wide range of annotation tasks for any domain. Examples are\nprovided that showcase TAG's capabilities on morphological parsing and event\nextraction tasks. The TAG software is available at: https://github.com/\nCreativeCodingLab/TextAnnotationGraphs.","url_abs":"http://arxiv.org/abs/1711.00529v2","url_pdf":"http://arxiv.org/pdf/1711.00529v2.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":"text-annotation-graphs-annotating-complex","repo_url":"https://github.com/CreativeCodingLab/TextAnnotationGraphs","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"event-extraction","task_name":"Event Extraction"},{"task_slug":"tag","task_name":"TAG"},{"task_slug":"text-annotation","task_name":"text annotation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1711.00529","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}