Sources/SRC0D8MR5FY3GP1

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

Hamilton, Leskovec and Jurafsky · 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

articleOpen access

Open the PDF13 pages · 750 KB

Cited by

1

Survey: inductive methods from fourteen fields

SRC0D8NJDAY13ME

Cite

Hamilton, W., Leskovec, J., Jurafsky, D. 2016. Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

@article{hamilton2016diachronic,
  author = {Hamilton, William L. and Leskovec, Jure and Jurafsky, Dan},
  title = {Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change},
  journal = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2016},
  doi = {10.18653/v1/p16-1141},
  url = {https://doi.org/10.18653/v1/p16-1141}
}

DOI: 10.18653/v1/p16-1141
Web: https://doi.org/10.18653/v1/p16-1141
Licence: CC-BY-4.0
Cite key: hamilton2016diachronic
SHA-256: 222e4b7cd4f88fbd504fdadbc3e37a7ffa4a8a7f68d19c6ee85d553379782694

In the research Session 9: The inquiry framework, the inductive battery, generated hypotheses and readingsConsulted

History

v1 · 25 Oct 2026 · Voynich Manuscript: sync from the research ledger