Learning Disentangled Textual Representations via Statistical Measures of Similarity. Colombo, P., Staerman, G., Noiry, N., & Piantanida, P. In Muresan, S., Nakov, P., & Villavicencio, A., editors, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022, pages 2614–2630, 2022. Association for Computational Linguistics.
Learning Disentangled Textual Representations via Statistical Measures of Similarity [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/acl/ColomboSNP22,
  author       = {Pierre Colombo and
                  Guillaume Staerman and
                  Nathan Noiry and
                  Pablo Piantanida},
  editor       = {Smaranda Muresan and
                  Preslav Nakov and
                  Aline Villavicencio},
  title        = {Learning Disentangled Textual Representations via Statistical Measures
                  of Similarity},
  booktitle    = {Proceedings of the 60th Annual Meeting of the Association for Computational
                  Linguistics (Volume 1: Long Papers), {ACL} 2022, Dublin, Ireland,
                  May 22-27, 2022},
  pages        = {2614--2630},
  publisher    = {Association for Computational Linguistics},
  year         = {2022},
  url          = {https://doi.org/10.18653/v1/2022.acl-long.187},
  doi          = {10.18653/V1/2022.ACL-LONG.187},
  timestamp    = {Mon, 01 Aug 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/acl/ColomboSNP22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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