Keywords
- Linear Interpolation Smoothing
- Dirichlet Smoothing
- Bayesian Predictive Distribution
- Unseen Terms
- Language Modeling Techniques
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Recommended Reading
Chen SF, Goodman J. An empirical study of smoothing techniques for language modeling. Technical report TR-10-98, Center for Research in Computing Technology, Harvard University, August 1998.
Zaragoza H, Hiemstra D, Tipping M, Robertson S. Bayesian extension to the language model for ad hoc information retrieval. In: Proceedings of 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2003. p. 4–9.
Zhai C, Lafferty J. A study of smoothing methods for language models applied to information retrieval. ACM Trans Inf Syst. 2004;22(2):179–214.
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Hiemstra, D. (2018). Probability Smoothing. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_936-3
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DOI: https://doi.org/10.1007/978-1-4899-7993-3_936-3
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Chapter history
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Latest
Probability Smoothing- Published:
- 25 October 2017
DOI: https://doi.org/10.1007/978-1-4899-7993-3_936-3
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Original
Probability Smoothing- Published:
- 29 August 2017
DOI: https://doi.org/10.1007/978-1-4899-7993-3_936-2