DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String Matching

Kasra Hosseini, Federico Nanni, Mariona Coll Ardanuy. DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String Matching. In Qun Liu, David Schlangen, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2020 - Demos, Online, November 16-20, 2020. pages 62-69, Association for Computational Linguistics, 2020. [doi]

@inproceedings{HosseiniNA20,
  title = {DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String Matching},
  author = {Kasra Hosseini and Federico Nanni and Mariona Coll Ardanuy},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-demos.9/},
  researchr = {https://researchr.org/publication/HosseiniNA20},
  cites = {0},
  citedby = {0},
  pages = {62-69},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2020 - Demos, Online, November 16-20, 2020},
  editor = {Qun Liu and David Schlangen},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-62-0},
}