Tailoring the automated construction of large-scale taxonomies using the web.
It has long been a dream to have available a single, centralized, semantic thesaurus or terminology taxonomy to support research in a variety of fields. Much human and computational effort has gone into constructing such resources, including the original WordNet and subsequent wordnets in various la...
| Publicado en: | Language Resources & Evaluation Vol. 47; no. 3; pp. 859 - 891 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Sep2013
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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=90015535&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 90015535 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Sep2013 vid: 47 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 90015535 10.1007/s10579-013-9229-0 ppf: 859 ppct: 32 formats: fmt: @attributes: type: P size: 677KB tig: atl: Tailoring the automated construction of large-scale taxonomies using the web. aug: au: Kozareva, Zornitsa Hovy, Eduard affil: USC Information Sciences Institute, 4676 Admiralty Way Marina del Rey 90292-6695 USA su: Text mining Taxonomic logic Automation Language & languages Terms & phrases Ontology sug: subj: Text mining Taxonomic logic Automation Language & languages Terms & phrases Ontology keyword: Hyponym and hypernym learning Ontology induction Wordnet evaluation ab: It has long been a dream to have available a single, centralized, semantic thesaurus or terminology taxonomy to support research in a variety of fields. Much human and computational effort has gone into constructing such resources, including the original WordNet and subsequent wordnets in various languages. To produce such resources one has to overcome well-known problems in achieving both wide coverage and internal consistency within a single wordnet and across many wordnets. In particular, one has to ensure that alternative valid taxonomizations covering the same basic terms are recognized and treated appropriately. In this paper we describe a pipeline of new, powerful, minimally supervised, automated algorithms that can be used to construct terminology taxonomies and wordnets, in various languages, by harvesting large amounts of online domain-specific or general text. We illustrate the effectiveness of the algorithms both to build localized, domain-specific wordnets and to highlight and investigate certain deeper ontological problems such as parallel generalization hierarchies. We show shortcomings and gaps in the manually-constructed English WordNet in various domains. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2013. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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