Embeddings: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
Line 1: | Line 1: | ||
== Word2Vec embeddings== | |||
Repository for the word embeddings described in Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource, presented at LREC 2016. | |||
* [https://github.com/clips/dutchembeddings Download page] | |||
==BERT embeddings== | |||
*[https://arxiv.org/abs/1912.09582 BERTje] | |||
*[https://people.cs.kuleuven.be/~pieter.delobelle/robbert/ RobBERT] | |||
==GeenStijl.nl embeddings == | |||
GeenStijl.nl embeddings contains over 8M messages from the controversial Dutch websites GeenStijl and Dumpert to train a word embedding model that captures the toxic language representations contained in the dataset. The trained word embeddings (±150MB) are released for free and may be useful for further study on toxic online discourse. | |||
*[https://www.textgain.com/portfolio/geenstijl-embeddings/ Project page] | |||
*[https://www.textgain.com/wp-content/uploads/2021/06/TGTR4-geenstijl.pdf Report] |
Revision as of 09:23, 4 March 2022
Word2Vec embeddings
Repository for the word embeddings described in Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource, presented at LREC 2016.
BERT embeddings
GeenStijl.nl embeddings
GeenStijl.nl embeddings contains over 8M messages from the controversial Dutch websites GeenStijl and Dumpert to train a word embedding model that captures the toxic language representations contained in the dataset. The trained word embeddings (±150MB) are released for free and may be useful for further study on toxic online discourse.