Published September 7, 2020
| Version v1
Software
Open
sticker2: a sequence labeler using Transformer networks.
Description
The software 'sticker2' is a sequence labeler using Transformer networks. sticker2 models can be trained from scratch or using pretrained models, such as BERT or XLM-RoBERTa. sticker2 can be used to perform any sequence labeling task, including part-of-speech tagging, morphological tagging, topological field tagging, lemmatization, dependency parsing, and named entity recognition.
sticker2 is a multi-task neural sequence labeler and dependency parser.
Requires the Rust toolchain.
Other (English)
Research carried out in work package A03 of the SFB 833.
Files
CMDI.xml
Files
(28.3 MB)
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