{"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/amalgum-a-free-balanced-multilayer-english","title":"AMALGUM -- A Free, Balanced, Multilayer English Web Corpus","arxiv_id":"2006.10677","date":"2020-06-18","proceeding":"LREC 2020 5","authors":["Luke Gessler","Siyao Peng","Yang Liu","YIlun Zhu","Shabnam Behzad","Amir Zeldes"],"abstract":"We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency trees, non-named entity annotations, coreference resolution, and discourse trees in Rhetorical Structure Theory. By tapping open online data sources the corpus is meant to offer a more sizable alternative to smaller manually created annotated data sets, while avoiding pitfalls such as imbalanced or unknown composition, licensing problems, and low-quality natural language processing. We harness knowledge from multiple annotation layers in order to achieve a \"better than NLP\" benchmark and evaluate the accuracy of the resulting resource.","url_abs":"https://arxiv.org/abs/2006.10677v1","url_pdf":"https://arxiv.org/pdf/2006.10677v1.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":"amalgum-a-free-balanced-multilayer-english","repo_url":"https://github.com/gucorpling/amalgum","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"coreference-resolution","task_name":"Coreference Resolution"},{"task_slug":"coreference-resolution-1","task_name":"coreference-resolution"}],"methods":[],"datasets_introduced":[{"slug":"amalgum","name":"AMALGUM","full_name":"A Machine Annotated Lookalike of GUM"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2006.10677","atlas_url":"https://app.syntology.ai/?focus=2006.10677","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}