Summary of the paper
| Title | Distributed Distributional Similarities of Google Books over the Centuries |
|---|---|
| Authors | Martin Riedl, Richard Steuer and Chris Biemann |
| Abstract | This paper introduces a distributional thesaurus and sense clusters computed on the complete Google Syntactic N-grams, which is extracted from Google Books, a very large corpus of digitized books published between 1520 and 2008. We show that a thesaurus computed on such a large text basis leads to much better results than using smaller corpora like Wikipedia. We also provide distributional thesauri for equal-sized time slices of the corpus. While distributional thesauri can be used as lexical resources in NLP tasks, comparing word similarities over time can unveil sense change of terms across different decades or centuries, and can serve as a resource for diachronic lexicography. Thesauri and clusters are available for download. |
| Topics | Lexicon, Lexical Database, Semantics |
Full paper  |
Distributed Distributional Similarities of Google Books over the Centuries |
| Bibtex | @InProceedings{RIEDL14.274, author = {Martin Riedl and Richard Steuer and Chris Biemann}, title = {Distributed Distributional Similarities of Google Books over the Centuries}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |