The list of papers given here is temptative and might still be subject to changes in the coming weeks.

• Blei, David M., and John D. Lafferty, 2009. Topic models. Text mining: classification, clustering, and applications 10, no. 71: 34.
• Yee Whye Teh, 2006. "A hierarchical Bayesian language model based on Pitman-Yor processes." In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics (ACL-44). Association for Computational Linguistics.
• Das, R., Zaheer, M. and Dyer, C., 2015. Gaussian LDA for Topic Models with Word Embeddings. In ACL (1) (pp. 795-804).
• Johnson, M., 2007, June. Why doesn't EM find good HMM POS-taggers?. In EMNLP-CoNLL (pp. 296-305).
• Goldwater, S., Griffiths, T.L. and Johnson, M., 2009. A Bayesian framework for word segmentation: Exploring the effects of context. Cognition, 112(1) (pp.21-54).
• Cohn, T., Blunsom, P. and Goldwater, S., 2010. Inducing tree-substitution grammars. Journal of Machine Learning Research, 11(Nov) (pp.3053-3096).
• Finkel, J.R. and Manning, C.D., 2009. Hierarchical bayesian domain adaptation. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (pp. 602-610). Association for Computational Linguistics.
• McMahan, B. and Stone, M., 2015. A Bayesian model of grounded color semantics. Transactions of the Association for Computational Linguistics, 3 (pp.103-115).