Bayesian Analysis in Natural Language Processing

Author:

Duh Kevin1

Affiliation:

1. Johns Hopkins University

Publisher

MIT Press - Journals

Subject

Artificial Intelligence,Computer Science Applications,Linguistics and Language,Language and Linguistics

Reference5 articles.

1. Blunsom, Phil, Trevor Cohn, Chris Dyer, and Miles Osborne. 2009. A Gibbs sampler for phrasal synchronous grammar induction. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pages 782–790, Suntec.

2. A Bayesian framework for word segmentation: Exploring the effects of context

3. Haghighi, Aria and Dan Klein. 2007. Unsupervised coreference resolution in a nonparametric Bayesian model. In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, pages 848–855, Prague.

4. Johnson, Mark, Thomas L. Griffiths, and Sharon Goldwater. 2007. Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models. In Advances in Neural Information Processing Systems, pages 641–648, Vancouver.

5. Snyder, Benjamin and Regina Barzilay. 2008. Unsupervised multilingual learning for morphological segmentation. In Proceedings of ACL-08: HLT, pages 737–745, Columbus, OH.

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1. A new method for computational cultural cartography: From neural word embeddings to transformers and Bayesian mixture models;Canadian Review of Sociology/Revue canadienne de sociologie;2022-04-24

2. Carving of the OOXML document from volatile memory using unsupervised learning techniques;Journal of Information Security and Applications;2022-03

3. Dead languages come to life;Communications of the ACM;2020-03-20

4. Collaborative filtering recommendation algorithm based on variational inference;International Journal of Crowd Science;2020-01-31

5. Bayesian Analysis in Natural Language Processing, Second Edition;Synthesis Lectures on Human Language Technologies;2019-04-08

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