CONDITIONAL MAXIMUM ENTROPY: Related Papers in ACL Anthology

CONDITIONAL MAXIMUM ENTROPY can be found in the following ACL ARC 1.0 documents (click to explore):

• (ACL ID: N04-1039) exponential priors for maximum entropy models
• (ACL ID: N04-4024) direct maximization of average precision by hill-climbing, with a comparison to a maximum entropy approach
• (ACL ID: N04-4028) confidence estimation for information extraction
• (ACL ID: N06-1036) backoff model training using partially observed data
• (ACL ID: N06-2021) initial study on automatic identification of speaker role in broadcast news speech
• (ACL ID: P02-1002) sequential conditional generalized iterative scaling
• (ACL ID: P05-1012) online large-margin training of dependency parsers
• (ACL ID: P06-1071) a progressive feature selection algorithm for ultra large feature spaces
• (ACL ID: P98-2140) feature lattices for maximum entropy modelling
• (ACL ID: W01-0704) semantic pattern learning through maximum entropy-based wsd technique
• (ACL ID: W02-1002) conditional structure versus conditional estimation in nlp models
• (ACL ID: W02-2018) a comparison of algorithms for maximum entropy parameter estimation
• (ACL ID: W03-0430) early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons
• (ACL ID: W03-1018) evaluation and extension of maximum entropy models with inequality constraints
• (ACL ID: W03-1020) a fast algorithm for feature selection in conditional maximum entropy modeling
• (ACL ID: W04-0846) context clustering for word sense disambiguation based on modeling pairwise context similarities
• (ACL ID: W97-0121) collocation lattices and maximum entropy models