CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Bartz
    given-names: Christopher
    affiliation: "ZBW - Leibniz Information Centre for Economics"
  - family-names: Fürneisen
    given-names: Moritz
    affiliation: "ZBW - Leibniz Information Centre for Economics"
  - family-names: Rajendram Bashyam
    given-names: Lakshmi
    affiliation: "ZBW - Leibniz Information Centre for Economics"
  - family-names: Majal
    given-names: Ghulam Mustafa
    affiliation: "ZBW - Leibniz Information Centre for Economics"
title: "qualle (a framework to predict the quality of a multi-label classification result)"
abstract: "This framework allows to train a model which can be used to predict the quality of the result of applying a multi-label classification (MLC) method on a document. In this implementation, only the recall is predicted for a document, but in principle any document-level quality estimation (such as the prediction of precision) can be implemented analogously."
version: 0.3.2
license: Apache-2.0
date-released: 2024-12-04
repository-code: "https://github.com/zbw/qualle"
contact:
  - name: "Automatization of subject indexing using methods from artificial intelligence (AutoSE)"
  - website: "https://www.zbw.eu/en/about-us/key-activities/automated-subject-indexing"
  - email: autose@zbw.eu
  - affiliation: "ZBW - Leibniz Information Centre for Economics"
keywords:
  - "automated subject indexing"
  - "controlled vocabularies"
  - "machine learning"
references:
  - authors:
      - family-names: Toepfer
        given-names: Martin
      - family-names: Seifert
        given-names: Christin
    title: "Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts under Precision and Recall Constraints"
    type: conference-paper
    doi: 10.1007/978-3-030-00066-0_1