Web2 Jun 2024 · This paper provides a dataset and comprehensive evaluation showing that the latest neural LM based end-to-end systems degrade very substantially out of domain. We make an OntoNotes-like coreference dataset called OntoGUM publicly available, converted from GUM, an English corpus covering 12 genres, using deterministic rules, which we … Web1 Sep 2024 · The GUM corpus: creating multilayer resources in the classroom Authors: Amir Zeldes Georgetown University Abstract and Figures This paper presents the methodology, …
The GUM corpus: creating multilayer resources in the …
Webfrom publication: The GUM corpus: creating multilayer resources in the classroom This paper presents the methodology, design principles and detailed evaluation of a new freely available ... Web18 Jun 2024 · The GUM corpus contains data from the same genres mentioned above, currently amounting to approximately 130,000 tokens. We use the term genre somewhat loosely here to describe any recurring combination of features which characterize groups of texts that are created under similar extralinguistic conditions and with comparable … naiif_fashion_official
Corpus Architecture SpringerLink
WebGUM The Georgetown University Multilayer (GUM) corpus (Zeldes,2024) is an open-source corpus of richly annotated texts from 12 genres, including 168 documents and over 150K tokens. Though it originally contains more coreference phe-nomena than OntoNotes using more exhaustive guidelines, it also contains rich syntactic, semantic WebThe Georgetown University Multilayer Corpus (GUM) is an open source multilayer corpus of richly annotated web texts from eight text types. The corpus is collected and expanded by … Web5 May 2024 · The GUM corpus. The Georgetown University Multilayer corpus (GUM, Zeldes 2024), is a freely available corpus of English Web genres, created using ‘class-sourcing’ as part of the Linguistics curriculum at Georgetown University. The corpus, which is expanded every year and currently contains over 129,000 tokens, is collected from eight open ... nai hypernetwork