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The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.4
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The Twitter user dataset for discriminating between Bosnian, Croatian, Montenegrin and Serbian Twitter-HBS 1.0
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The news dataset for discriminating between Bosnian, Croatian and Serbian SETimes.HBS 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.3
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The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild ...
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Retweet communities reveal the main sources of hate speech
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In: PLoS One (2022)
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The ParlaMint corpora of parliamentary proceedings
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In: Lang Resour Eval (2022)
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Choice of plausible alternatives dataset in Croatian COPA-HR
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Abstract:
The COPA-HR dataset (Choice of plausible alternatives in Croatian) is a translation of the English COPA dataset (https://people.ict.usc.edu/~gordon/copa.html) by following the XCOPA dataset translation methodology (https://arxiv.org/abs/2005.00333). The dataset consists of 1000 premises (My body cast a shadow over the grass), each given a question (What is the cause?), and two choices (The sun was rising; The grass was cut), with a label encoding which of the choices is more plausible given the annotator or translator (The sun was rising). The observed agreement of the English annotator and the Croatian translator is perfect on the training and the validation dataset, with one different label (agreement of 99.8%) on the test dataset. The current state-of-the-art on this dataset is held by the BERTić model (https://huggingface.co/CLASSLA/bcms-bertic), achieving an accuracy of 66% (50% is random).
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Keyword:
commonsense reasoning; manual annotation; manual translation
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URL: http://hdl.handle.net/11356/1404
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Croatian corpus of non-professional written language by typical speakers and speakers with language disorders RAPUT 1.0
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The Orange workflow for observing collocation trends ColTrend 1.0
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