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EMNLP
2008
13 years 7 months ago
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin
EUROCAST
2003
Springer
108views Hardware» more  EUROCAST 2003»
13 years 10 months ago
Fast Entropy-Based Nonrigid Registration
Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
Eduardo Suárez, Jose Aurelio Santana, Eduar...
CIKM
2005
Springer
13 years 11 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
ACL
2008
13 years 7 months ago
Phrase Chunking Using Entropy Guided Transformation Learning
Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In thi...
Ruy Luiz Milidiú, Cícero Nogueira do...
ISVC
2005
Springer
13 years 11 months ago
Retinal Image Registration for NIH's ETDRS
This paper presents a retinal image registration approach for National Institute of Health (NIH)’s Early Treatment Diabetic Retinopathy Study (ETDRS) standard. The ETDRS imaging ...
Thitiporn Chanwimaluang, Guoliang Fan