Published September 7, 2020 | Version v1
Software Open

sticker: a sequence labelersticker

  • 1. ROR icon University of Tübingen

Description

The software 'sticker' is a sequence labeler that uses either recurrent neural networks, transformers, or dilated convolution networks. It can perform any sequence labeling task, including part-of-speech tagging, topological field tagging, dependency parsing, and named entity recognition.

Requires the Rust toolchain.

Other (English)

Research carried out in work package A03 of the SFB 833.

Files

CMDI.xml

Files (19.3 MB)

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md5:9170f099840f4fb38ad999434092c248
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md5:6f0d1031613f17911b72b0f4646ff8b8
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Additional details

Funding

Deutsche Forschungsgemeinschaft
SFB 833:  Bedeutungskonstitution - Dynamik und Adaptivität sprachlicher Strukturen 75650358

Data quality

Accuracy

Not specified.

Completeness

Not specified.

Conformity

Not specified.

Consistency

Not specified.

Credibility

Not specified.

Processability

Not specified.

Relevance

Not specified.

Timeliness

Not specified.

Understandability

Not specified.