The GUM corpus: creating multilayer resources in the classroom.
This paper presents the methodology, design principles and detailed evaluation of a new freely available multilayer corpus, collected and edited via classroom annotation using collaborative software. After briefly discussing corpus design for open, extensible corpora, five classroom annotation proje...
| Publicado en: | Language Resources & Evaluation Vol. 51; no. 3; pp. 581 - 613 |
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| Formato: | Artículo |
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Springer Nature
Sep2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=124484770&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 124484770 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Sep2017 vid: 51 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 124484770 10.1007/s10579-016-9343-x ppf: 581 ppct: 32 formats: fmt: @attributes: type: P size: 1.4MB tig: atl: The GUM corpus: creating multilayer resources in the classroom. aug: au: Zeldes, Amir affil: Georgetown University , Washington USA su: Corpora Georgetown University Classrooms Annotations Speech Data structures sug: subj: Corpora Georgetown University Classrooms Annotations Speech Data structures keyword: Classroom annotation Coreference Information structure Multilayer corpora Parsing Treebank ab: This paper presents the methodology, design principles and detailed evaluation of a new freely available multilayer corpus, collected and edited via classroom annotation using collaborative software. After briefly discussing corpus design for open, extensible corpora, five classroom annotation projects are presented, covering structural markup in TEI XML, multiple part of speech tagging, constituent and dependency parsing, information structural and coreference annotation, and Rhetorical Structure Theory analysis. Layers are inspected for annotation quality and together they coalesce to form a richly annotated corpus that can be used to study the interactions between different levels of linguistic description. The evaluation gives an indication of the expected quality of a corpus created by students with relatively little training. A multifactorial example study on lexical NP coreference likelihood is also presented, which illustrates some applications of the corpus. The results of this project show that high quality, richly annotated resources can be created effectively as part of a linguistics curriculum, opening new possibilities not just for research, but also for corpora in linguistics pedagogy. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2017. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2017 holdings: @attributes: islocal: N |
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