From 1925ab060b88eff2db256fd55792ed04b4a609d2 Mon Sep 17 00:00:00 2001 From: MoritzLaurer Date: Sun, 27 Aug 2023 20:44:48 +0200 Subject: [PATCH] update readme with final paper link and citation --- README.md | 28 ++++++++++++++++++++++++---- 1 file changed, 24 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 4cd59b5..35b8198 100644 --- a/README.md +++ b/README.md @@ -3,10 +3,9 @@ This is the replication code for the paper "Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI". -This repository contains the full code and data for reproducing the paper. -An earlier pre-print version of the paper is available [here](https://osf.io/wqc86/) -and an improved version has been accepted in the journal [Political Analysis](https://www.cambridge.org/core/journals/political-analysis). -The final paper will be linked as soon as it is available on the journal website. +This repository contains the full code and data for reproducing the paper. +The paper was published in the journal Political Analysis +and the final version is available on the journal website [here](https://www.cambridge.org/core/journals/political-analysis/article/less-annotating-more-classifying-addressing-the-data-scarcity-issue-of-supervised-machine-learning-with-deep-transfer-learning-and-bertnli/05BB05555241762889825B080E097C27). We also provide an easy-to-use Google Colab notebook for testing BERT-NLI with free access to a GPU. We invite anyone to run and copy this notebook and to train their own BERT-NLI model @@ -126,6 +125,27 @@ initialised with the value 42 is used to create new random seeds. MIT +### Citation + +Laurer, M., Van Atteveldt, W., Casas, A., & Welbers, K. (2023). Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI. Political Analysis, 1–33. https://doi.org/10.1017/pan.2023.20 + +```bibtex +@article{laurer_less_2023, + title = {Less {Annotating}, {More} {Classifying}: {Addressing} the {Data} {Scarcity} {Issue} of {Supervised} {Machine} {Learning} with {Deep} {Transfer} {Learning} and {BERT}-{NLI}}, + issn = {1047-1987, 1476-4989}, + shorttitle = {Less {Annotating}, {More} {Classifying}}, + url = {https://www.cambridge.org/core/product/identifier/S1047198723000207/type/journal_article}, + doi = {10.1017/pan.2023.20}, + language = {en}, + urldate = {2023-06-20}, + journal = {Political Analysis}, + author = {Laurer, Moritz and Van Atteveldt, Wouter and Casas, Andreu and Welbers, Kasper}, + month = jun, + year = {2023}, + pages = {1--33}, +} +``` + ### Acknowledgements This README file is partly based on the [Social Science Data Editors template](https://social-science-data-editors.github.io/template_README/template-README.html). \ No newline at end of file