A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AY9U39UU2" target="_blank" >RIV/00216208:11320/22:Y9U39UU2 - isvavai.cz</a>
Result on the web
<a href="https://arxiv.org/pdf/2201.05601v2.pdf" target="_blank" >https://arxiv.org/pdf/2201.05601v2.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.48550/arXiv.2201.05601" target="_blank" >10.48550/arXiv.2201.05601</a>
Alternative languages
Result language
angličtina
Original language name
A Warm Start and a Clean Crawled Corpus - A Recipe for Good Language Models
Original language description
We train several language models for Icelandic, including IceBERT, that achieve state-of-the-art performance in a variety of downstream tasks, including part-of-speech tagging, named entity recognition, grammatical error detection and constituency parsing. To train the models we introduce a new corpus of Icelandic text, the Icelandic Common Crawl Corpus (IC3), a collection of high quality texts found online by targeting the Icelandic top-level-domain .is. Several other public data sources are also collected for a total of 16GB of Icelandic text. To enhance the evaluation of model performance and to raise the bar in baselines for Icelandic, we manually translate and adapt the WinoGrande commonsense reasoning dataset. Through these efforts we demonstrate that a properly cleaned crawled corpus is sufficient to achieve state-of-the-art results in NLP applications for low to medium resource languages, by comparison with models trained on a curated corpus. We further show that initializing models using existing multilingual models can lead to state-of-the-art results for some downstream tasks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Thirteenth Language Resources and Evaluation Conference
ISBN
979-10-95546-72-6
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
4356-4366
Publisher name
European Language Resources Association
Place of publication
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Event location
Marseille, France
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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