Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge

Ryan J. Gallagher, Kyle Reing, David Kale et al., 2017. Transactions of the Association for Computational Linguistics.

Introduces CorEx, a topic model built on correlation explanation rather than a generative model, which can be steered with a few anchor words.

Voynich ManuscriptArticledoi: 10.1162/tacl_a_00078Checked against the original0

What it's used for here

The inductive-methods survey proposes it for finding topic structure in the manuscript with few assumptions.

Cited by on this site 1 record

1 methods surveys

Inductive methods

SRC

Cite it

Gallagher, R. J., Reing, K., Kale, D., & Ver Steeg, G. (2017). Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge. Transactions of the Association for Computational Linguistics. https://doi.org/10.1162/tacl_a_00078

@article{gallagher2017anchored,
  author = {Gallagher, Ryan J. and Reing, Kyle and Kale, David and Ver Steeg, Greg},
  title = {Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge},
  journal = {Transactions of the Association for Computational Linguistics},
  year = {2017},
  doi = {10.1162/tacl_a_00078},
  url = {https://doi.org/10.1162/tacl_a_00078}
}

TY  - JOUR
TI  - Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge
AU  - Gallagher, Ryan J.
AU  - Reing, Kyle
AU  - Kale, David
AU  - Ver Steeg, Greg
PY  - 2017
JO  - Transactions of the Association for Computational Linguistics
DO  - 10.1162/tacl_a_00078
UR  - https://doi.org/10.1162/tacl_a_00078
ER  -

Gallagher, Ryan J. et al.. “Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge.” Transactions of the Association for Computational Linguistics (2017). https://doi.org/10.1162/tacl_a_00078.