CITATION.cff

cff-version: 1.2.0
message: If you use this software, please cite it using these metadata.
title: Word2Doc2Vec-Doc-Relevance
abstract: An approach utilizing a word2vec solution to generate document embeddings from the TREC and RELISH datasets as part to explore and compare various NLP solution.
authors:
  - family-names: "Geist"
    given-names: "Lukas"
    orcid: "http://orcid.org/0000-0002-2910-7982"
  - family-names: "Ravinder"
    given-names: "Rohitha"
    orcid: "https://orcid.org/0009-0004-4484-6283"
  - family-names: "Talha"
    given-names: "Muhammad"
  - family-names: "Rebholz-Schuhmann"
    given-names: "Dietrich"
    orcid: "https://orcid.org/0000-0002-1018-0370"
  - family-names: "Castro"
    given-names: "Leyla Jael"
    orcid: "https://orcid.org/0000-0003-3986-0510"
version: 1.0.0
license: "https://spdx.org/licenses/GPL-3.0"
copyright: ZB MED
repository-code: "https://github.com/zbmed-semtec/word2doc2vec-doc-relevance.git"