diff --git a/citation.cff b/citation.cff index 89631f9..10b70c6 100644 --- a/citation.cff +++ b/citation.cff @@ -1,49 +1,26 @@ -# This CITATION.cff file was generated with cffinit. -# Visit https://bit.ly/cffinit to generate yours today! - -cff-version: 1.2.0 -title: "Augmenty: The cherry on top of your NLP pipeline" -message: "If you use this software, please cite it as below." -type: software +cff-version: "1.2.0" authors: +- family-names: Enevoldsen + given-names: Kenneth + orcid: "https://orcid.org/0000-0001-8733-0966" +doi: 10.5281/zenodo.11002422 +message: If you use this software, please cite our article in the + Journal of Open Source Software. +preferred-citation: + authors: - family-names: Enevoldsen given-names: Kenneth orcid: "https://orcid.org/0000-0001-8733-0966" -identifiers: - - type: url - value: "https://arxiv.org/abs/2312.05520" - description: Arxiv URL - - type: doi - value: 10.5281/zenodo.6675315 - description: Zonedo DOI -repository-code: "https://github.com/KennethEnevoldsen/augmenty" -url: "https://kennethenevoldsen.github.io/augmenty/" -abstract: >- - Augmnety is a Python library for structured text - augmentation. It is built on top of spaCy and allows for - augmentation of both the text and its annotations. - Augmenty provides a wide range of augmenters which can be - combined in a flexible manner to create complex - augmentation pipelines. It also includes a set of - primitives that can be used to create custom augmenters - such as word replacement augmenters. This functionality - allows for augmentations within a range of applications - such as named entity recognition (NER), part-of-speech - tagging, and dependency parsing. -keywords: - - nlp - - augmentation - - spacy - - natural language processing -license: MIT -version: 1.4.2 -date-released: "2023-12-09" -preferred-citation: - type: article + date-published: 2024-04-27 + doi: 10.21105/joss.06370 + issn: 2475-9066 + issue: 96 + journal: Journal of Open Source Software + publisher: + name: Open Journals + start: 6370 title: "Augmenty: A Python Library for Structured Text Augmentation" - url: "https://arxiv.org/abs/2312.05520" - year: 2023 - authors: - - family-names: "Enevoldsen" - given-names: "Kenneth" - orcid: "https://orcid.org/0000-0001-8733-0966" + type: article + url: "https://joss.theoj.org/papers/10.21105/joss.06370" + volume: 9 +title: "Augmenty: A Python Library for Structured Text Augmentation"