Paper: A Multi-Dimensional Bayesian Approach to Lexical Style

ACL ID N13-1078
Title A Multi-Dimensional Bayesian Approach to Lexical Style
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

We adapt the popular LDA topic model (Blei et al., 2003) to the representation of stylistic lexical information, evaluating our model on the basis of human-interpretability at the word and text level. We show, in particular, that this model can be applied to the task of inducing stylistic lexicons, and that a multi-dimensional approach is warranted given the correlations among stylistic dimensions.