Go to the corresponding OASIcs Volume Portal |
Abromeit, Frank ;
Chiarcos, Christian
Automatic Detection of Language and Annotation Model Information in CoNLL Corpora
pdf-format:
OASIcs-LDK-2019-23.pdf (0.5 MB)
Abstract
We introduce AnnoHub, an on-going effort to automatically complement existing language resources with 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 to publish them as a RDF dataset and as part of the (Linguistic) Linked Open Data (LLOD) cloud. In this paper, we focus on tabular formats with tab-separated values (TSV), a de-facto standard for annotated corpora as popularized as part of the CoNLL Shared Tasks. By extension, other formats for which a converter to CoNLL and/or TSV formats does exist, can be processed analoguously. We describe our implementation and its evaluation against a sample of 93 corpora from the Universal Dependencies, v.2.3.BibTeX - Entry
@InProceedings{abromeit_et_al:OASIcs:2019:10387,
author = {Frank Abromeit and Christian Chiarcos},
title = {{Automatic Detection of Language and Annotation Model Information in CoNLL Corpora}},
booktitle = {2nd Conference on Language, Data and Knowledge (LDK 2019)},
pages = {23:1--23:9},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-95977-105-4},
ISSN = {2190-6807},
year = {2019},
volume = {70},
editor = {Maria Eskevich and Gerard de Melo and Christian F{\"a}th and John P. McCrae and Paul Buitelaar and Christian Chiarcos and Bettina Klimek and Milan Dojchinovski},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/10387},
URN = {urn:nbn:de:0030-drops-103873},
doi = {10.4230/OASIcs.LDK.2019.23},
annote = {Keywords: LLOD, CoNLL, OLiA}
}
Keywords:
LLOD, CoNLL, OLiA
Collection:
2nd Conference on Language, Data and Knowledge (LDK 2019)
Issue Date:
2019
Date of publication:
16.05.2019
Supplementary Material:
https://annohub.linguistik.de