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- Publisher Website: 10.1007/978-3-319-18111-0_16
- Scopus: eid_2-s2.0-84942589128
- WOS: WOS:000362441400016
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Conference Paper: Bayesian Finite Mixture Models for Probabilistic Context-Free Grammars
Title | Bayesian Finite Mixture Models for Probabilistic Context-Free Grammars |
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Authors | |
Keywords | Bayesian Finite Mixture Model MCMC Phrase Parsing |
Issue Date | 2015 |
Publisher | Springer. The Proceedings' web site is located at http://link.springer.com/book/10.1007/978-3-319-18111-0 |
Citation | 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015), Cairo, Egypt, 14-20 April 2015. In Alexander Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I, p. 201-212. Cham: Springer, 2015 How to Cite? |
Abstract | Instead of using a common PCFG to parse all texts, we present an efficient generative probabilistic model for the probabilistic context-free grammars(PCFGs) based on the Bayesian finite mixture model, where we assume that there are several PCFGs and each of these PCFGs share the same CFG but with different rule probabilities. Sentences of the same article in the corpus are generated from a common multinomial distribution over these PCFGs. We derive a Markov chain Monte Carlo algorithm for this model. In the experiments, our multi-grammar model outperforms both single grammar model and Inside-Outside algorithm. |
Persistent Identifier | http://hdl.handle.net/10722/218376 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
ISI Accession Number ID | |
Series/Report no. | Lecture Notes in Computer Science: v. 9041 |
DC Field | Value | Language |
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dc.contributor.author | Yu, PLH | - |
dc.contributor.author | Tang, Y | - |
dc.date.accessioned | 2015-09-18T06:35:31Z | - |
dc.date.available | 2015-09-18T06:35:31Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015), Cairo, Egypt, 14-20 April 2015. In Alexander Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I, p. 201-212. Cham: Springer, 2015 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10722/218376 | - |
dc.description.abstract | Instead of using a common PCFG to parse all texts, we present an efficient generative probabilistic model for the probabilistic context-free grammars(PCFGs) based on the Bayesian finite mixture model, where we assume that there are several PCFGs and each of these PCFGs share the same CFG but with different rule probabilities. Sentences of the same article in the corpus are generated from a common multinomial distribution over these PCFGs. We derive a Markov chain Monte Carlo algorithm for this model. In the experiments, our multi-grammar model outperforms both single grammar model and Inside-Outside algorithm. | - |
dc.language | eng | - |
dc.publisher | Springer. The Proceedings' web site is located at http://link.springer.com/book/10.1007/978-3-319-18111-0 | - |
dc.relation.ispartof | Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I | - |
dc.relation.ispartofseries | Lecture Notes in Computer Science: v. 9041 | - |
dc.subject | Bayesian Finite Mixture Model | - |
dc.subject | MCMC | - |
dc.subject | Phrase Parsing | - |
dc.title | Bayesian Finite Mixture Models for Probabilistic Context-Free Grammars | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Yu, PLH: plhyu@hku.hk | - |
dc.identifier.authority | Yu, PLH=rp00835 | - |
dc.identifier.doi | 10.1007/978-3-319-18111-0_16 | - |
dc.identifier.scopus | eid_2-s2.0-84942589128 | - |
dc.identifier.hkuros | 250696 | - |
dc.identifier.spage | 201 | - |
dc.identifier.epage | 212 | - |
dc.identifier.eissn | 1611-3349 | - |
dc.identifier.isi | WOS:000362441400016 | - |
dc.publisher.place | Cham | - |
dc.identifier.issnl | 0302-9743 | - |