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EMNLP
2009
13 years 2 months ago
On the Use of Virtual Evidence in Conditional Random Fields
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
Xiao Li
IJCNLP
2005
Springer
13 years 10 months ago
Chunking Using Conditional Random Fields in Korean Texts
We present a method of chunking in Korean texts using conditional random fields (CRFs), a recently introduced probabilistic model for labeling and segmenting sequence of data. In a...
Yong-Hun Lee, Mi-Young Kim, Jong-Hyeok Lee
EMNLP
2010
13 years 2 months ago
Better Punctuation Prediction with Dynamic Conditional Random Fields
This paper focuses on the task of inserting punctuation symbols into transcribed conversational speech texts, without relying on prosodic cues. We investigate limitations associat...
Wei Lu, Hwee Tou Ng
ICASSP
2011
IEEE
12 years 8 months ago
Incorporating alignments into Conditional Random Fields for grapheme to phoneme conversion
Conditional Random Fields (CRFs) are a state-of-the-art approach to natural language processing tasks like grapheme-tophoneme (g2p) conversion which is used to produce pronunciati...
Patrick Lehnen, Stefan Hahn, Andreas Guta, Hermann...
ICCPOL
2009
Springer
13 years 2 months ago
A Simple and Efficient Model Pruning Method for Conditional Random Fields
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Hai Zhao, Chunyu Kit