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» Using Maximum Entropy Model for Chinese Text Categorization
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BMCBI
2008
117views more  BMCBI 2008»
13 years 6 months ago
Cascaded classifiers for confidence-based chemical named entity recognition
Chemical named entities represent an important facet of biomedical text. We have developed a system to use character-based ngrams, Maximum Entropy Markov Models and rescoring to r...
Peter Corbett, Ann A. Copestake
COLING
2010
13 years 1 months ago
Improving Name Origin Recognition with Context Features and Unlabelled Data
We demonstrate the use of context features, namely, names of places, and unlabelled data for the detection of personal name language of origin. While some early work used either r...
Vladimir Pervouchine, Min Zhang, Ming Liu, Haizhou...
COLING
2010
13 years 1 months ago
Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
We employ Maximum Entropy model to conduct sub-tree alignment between bilingual phrasal structure trees. Various lexical and structural knowledge is explored to measure the syntac...
Jun Sun, Min Zhang, Chew Lim Tan
LREC
2010
148views Education» more  LREC 2010»
13 years 7 months ago
POS Multi-tagging Based on Combined Models
In the POS tagging task, there are two kinds of statistical models: one is generative model, such as the HMM, the others are discriminative models, such as the Maximum Entropy Mod...
Yan Zhao, Gertjan van Noord
COLING
2010
13 years 1 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...