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Archaeological entities and timespans extracted from all archaeology document...
We trained a BERT language model for Dutch Archaeology, and fine-tuned it to perform Named Entity Recognition for 6 categories of entity: artefacts, materials, time periods,... -
Training corpus SUK 1.0
The SUK training corpus contains about 1 million tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation, with... -
CMC training corpus Janes-Tag 3.0
Janes-Tag is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC) consisting of about 15,000 short texts (190,000 words), mostly tweets but also blogs,... -
Training corpus ssj500k 2.3
The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation.... -
Croatian Twitter training corpus ReLDI-NormTagNER-hr 2.1
ReLDI-NormTagNER-hr 2.1 is a manually annotated corpus of Croatian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation,... -
Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.1
ReLDI-NormTagNER-sr 2.1 is a manually annotated corpus of Serbian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation,... -
CMC training corpus Janes-Tag 2.1
Janes-Tag is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC). It is meant as a gold-standard training and testing dataset for tokenisation, sentence... -
Training corpus ssj500k 2.2
The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation.... -
Training corpus SETimes.SR 1.0
The SETimes.SR training corpus contains 86 726 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation, syntactic... -
Training corpus hr500k 1.0
The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and... -
Training corpus ssj500k 2.1
The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation.... -
Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.0
ReLDI-NormTagNER-sr 2.0 is a manually annotated corpus of Serbian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation,... -
Croatian Twitter training corpus ReLDI-NormTagNER-hr 2.0
ReLDI-NormTagNER-hr 2.0 is a manually annotated corpus of Croatian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation,... -
Twitter corpus Janes-Tweet 1.0
Janes-Tweet is an annotated corpus of almost 10 million tweets posted from 2013-06 to 2017-06 by approx. 9,000 users that tweet mostly in Slovene. The corpus is structured into... -
News comment corpus Janes-News 1.0
Janes-News is an annotated corpus of comments on online news articles from websites rtvslo.si, mladina.si, and reporter.si from the period 2007-03 to 2015-01. The corpus is... -
Forum corpus Janes-Forum 1.0
Janes-Forum is an annotated corpus of Slovene forums from websites med.over.net, avtomobilizem.com, and kvarkadabra.net from the period 2001-02 to 2015-01. The corpus is... -
Blog post and comment corpus Janes-Blog 1.0
Janes-Blog is an annotated corpus of Slovene blogs from websites rtvslo.si and publishwall.si from the period 2006-10 to 2016-01. The corpus is structured into individual texts... -
Wikipedia talk corpus Janes-Wiki 1.0
Janes-Wiki is an annotated corpus of discussion pages from the Slovene Wikipedia from the period 2003-08 to 2017-06. The corpus contains page and user talks and is structured... -
CMC training corpus Janes-Tag 2.0
Janes-Tag is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC). It is meant as a gold-standard training and testing dataset for tokenisation, sentence... -
Croatian linguistic training corpus hr500k 2.0
The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and...
