WordNet Is All You Need: A Surprisingly Effective Unsupervised Method for Graded Lexical Entailment

Joseph Renner, Pascal Denis, Rémi Gilleron. WordNet Is All You Need: A Surprisingly Effective Unsupervised Method for Graded Lexical Entailment. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023. pages 9176-9182, Association for Computational Linguistics, 2023. [doi]

@inproceedings{RennerDG23,
  title = {WordNet Is All You Need: A Surprisingly Effective Unsupervised Method for Graded Lexical Entailment},
  author = {Joseph Renner and Pascal Denis and Rémi Gilleron},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-emnlp.615},
  researchr = {https://researchr.org/publication/RennerDG23},
  cites = {0},
  citedby = {0},
  pages = {9176-9182},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-061-5},
}