Toward meaningful notions of similarity in NLP embedding models

Ábel Elekes, Adrian Englhardt, Martin Schäler, Klemens Böhm. Toward meaningful notions of similarity in NLP embedding models. Int. J. on Digital Libraries, 21(2):109-128, 2020. [doi]

@article{ElekesESB20,
  title = {Toward meaningful notions of similarity in NLP embedding models},
  author = {Ábel Elekes and Adrian Englhardt and Martin Schäler and Klemens Böhm},
  year = {2020},
  doi = {10.1007/s00799-018-0237-y},
  url = {https://doi.org/10.1007/s00799-018-0237-y},
  researchr = {https://researchr.org/publication/ElekesESB20},
  cites = {0},
  citedby = {0},
  journal = {Int. J. on Digital Libraries},
  volume = {21},
  number = {2},
  pages = {109-128},
}