Constructing a cross-document event coreference corpus for Dutch.
Event coreference resolution is a task in which different text fragments that refer to the same real-world event are automatically linked together. This task can be performed not only within a single document but also across different documents and can serve as a basis for many useful Natural Langua...
| Publicado en: | Language Resources & Evaluation Vol. 57; no. 2; pp. 819 - 849 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jun2023
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| Materias: | |
| 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=163826587&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 163826587 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Jun2023 vid: 57 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 163826587 10.1007/s10579-022-09597-1 ppf: 819 ppct: 30 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.2MB tig: atl: Constructing a cross-document event coreference corpus for Dutch. aug: au: De Langhe, Loic De Clercq, Orphée Hoste, Veronique affil: LT3, Language and Translation Technology Team, Ghent University, Groot-Brittanniëlaan 45, 9000, Ghent, Belgium su: Natural language processing Corpora Lie detectors & detection sug: subj: Natural language processing Corpora Lie detectors & detection keyword: Entity coreference resolution Event annotation Event coreference resolution ab: Event coreference resolution is a task in which different text fragments that refer to the same real-world event are automatically linked together. This task can be performed not only within a single document but also across different documents and can serve as a basis for many useful Natural Language Processing applications. Resources for this type of research, however, are extremely limited. We compiled the first large-scale dataset for cross-document event coreference resolution in Dutch, comparable in size to the most widely used English event coreference corpora. As data for event coreference is notoriously sparse, we took additional steps to maximize the number of coreference links in our corpus. Due to the complex nature of event coreference resolution, many algorithms consist of pipeline architectures which rely on a series of upstream tasks such as event detection, event argument identification and argument coreference. We tackle the task of event argument coreference to both illustrate the potential of our compiled corpus and to lay the groundwork for a Dutch event coreference resolution system in the future. Results show that existing NLP algorithms can be easily retrofitted to contribute to the subtasks of an event coreference resolution pipeline system. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2023. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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