Automatic Detection of Language and Annotation Model Information in CoNLL Corpora
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Automatic Detection of Language and Annotation Model Information in CoNLL Corpora
Original language description
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.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů