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DAGM
2008
Springer
14 years 17 days ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
ICASSP
2011
IEEE
13 years 2 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...
NAACL
2004
14 years 5 days ago
Accurate Information Extraction from Research Papers using Conditional Random Fields
With the increasing use of research paper search engines, such as CiteSeer, for both literature search and hiring decisions, the accuracy of such systems is of paramount importanc...
Fuchun Peng, Andrew McCallum
EMNLP
2010
13 years 8 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
MDAI
2009
Springer
14 years 5 months ago
Using Conditional Random Fields for Decision-Theoretic Planning
We propose a means of extending Conditional Random Field modeling to decision-theoretic planning where valuation is dependent upon fullyobservable factors. Representation is discu...
Paul A. Ardis, Christopher M. Brown