Báo cáo khoa học: "Efficient, Feature-based, Conditional Random Field Parsing" potx

... Ohio, USA, June 2008. c 2008 Association for Computational Linguistics Efficient, Feature-based, Conditional Random Field Parsing Jenny Rose Finkel, Alex Kleeman, Christopher D. Manning Department ... errors over previous work on WSJ15. 2 The Model 2.1 A Conditional Random Field Context Free Grammar (CRF-CFG) Our parsing model is based on a conditional ran- dom field model, how...

Ngày tải lên: 08/03/2014, 01:20

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... following hash func- tion, where v ∈ R d is a vector in the original feature space, and r is randomly drawn from N(0, 1) d : h(v) =  1 if v · r ≥ 0, 0 otherwise. If h b (v) is the b-bit ... resultant increase in b. 1 A related point was made by Li et al. (2008) when dis- cussing stable random projections. 2 A b bit signature requires the online storage of b∗ 32 bits of memory when .....

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... Xavier Carreras, and Peter L. Bartlett. 2008. Exponenti- ated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks. Journal of Machine Learning Research, 9:1775–1822, ... Cambridge, MA, USA, June. John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional Random Fields: Prob- abilistic Models for Segmenting and Labeling Se- quence Data. In Proc...

Ngày tải lên: 07/03/2014, 22:20

... Semi- Markov conditional random fields for information extraction. In Proceedings of NIPS, pages 1185– 1192. Fei Sha and Fernando Pereira. 2003. Shallow parsing with conditional random fields. ... ICML, pages 800–807. Charles Sutton, Khashayar Rohanimanesh, and An- drew McCallum. 2004. Dynamic conditional ran- dom fields: Factorized probabilistic models for la- beling and segmenting se...

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