Automatic Detection of Language and Annotation Model Information in CoNLL Corpora
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10427055" target="_blank" >RIV/00216208:11320/19:10427055 - isvavai.cz</a>
Výsledek na webu
<a href="http://drops.dagstuhl.de/opus/volltexte/2019/10387" target="_blank" >http://drops.dagstuhl.de/opus/volltexte/2019/10387</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Automatic Detection of Language and Annotation Model Information in CoNLL Corpora
Popis výsledku v původním jazyce
We introduce AnnoHub, an on-going effort to automatically complement existing language resourceswith metadata about the languages they cover and the annotation schemes (tagsets) that they apply,to provide a web interface for their curation and evaluation by means of domain experts, and topublish them as a RDF dataset and as part of the (Linguistic) Linked Open Data (LLOD) cloud. Inthis paper, we focus on tabular formats with tab-separated values (TSV), a de-facto standard forannotated corpora as popularized as part of the CoNLL Shared Tasks. By extension, other formatsfor which a converter to CoNLL and/or TSV formats does exist, can be processed analoguously. Wedescribe our implementation and its evaluation against a sample of 93 corpora from the UniversalDependencies, v.2.3.
Název v anglickém jazyce
Automatic Detection of Language and Annotation Model Information in CoNLL Corpora
Popis výsledku anglicky
We introduce AnnoHub, an on-going effort to automatically complement existing language resourceswith metadata about the languages they cover and the annotation schemes (tagsets) that they apply,to provide a web interface for their curation and evaluation by means of domain experts, and topublish them as a RDF dataset and as part of the (Linguistic) Linked Open Data (LLOD) cloud. Inthis paper, we focus on tabular formats with tab-separated values (TSV), a de-facto standard forannotated corpora as popularized as part of the CoNLL Shared Tasks. By extension, other formatsfor which a converter to CoNLL and/or TSV formats does exist, can be processed analoguously. Wedescribe our implementation and its evaluation against a sample of 93 corpora from the UniversalDependencies, v.2.3.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
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Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů