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COLING
2002
13 years 8 months ago
Named Entity Recognition: A Maximum Entropy Approach Using Global Information
This paper presents a maximum entropy-based named entity recognizer (NER). It differs from previous machine learning-based NERs in that it uses information from the whole document...
Hai Leong Chieu, Hwee Tou Ng
ICASSP
2010
IEEE
13 years 7 months ago
Optimization of a maximum entropy criterion for 2D Nuclear Magnetic Resonance reconstruction
This paper deals with the reconstruction of T1-T2 correlation spectra in Nuclear Magnetic Resonance (NMR) spectroscopy. The ill-posed character of this inverse problem and its lar...
Emilie Chouzenoux, Saïd Moussaoui, Jér...
TSP
2010
13 years 3 months ago
Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra
Abstract--This paper deals with the reconstruction of T1-T2 correlation spectra in nuclear magnetic resonance relaxometry. The ill-posed character and the large size of this invers...
Emilie Chouzenoux, Saïd Moussaoui, Jér...
ACL
2001
13 years 10 months ago
Improvement of a Whole Sentence Maximum Entropy Language Model Using Grammatical Features
In this paper, we propose adding long-term grammatical information in a Whole Sentence Maximun Entropy Language Model (WSME) in order to improve the performance of the model. The ...
Fredy A. Amaya, José-Miguel Benedí
ICASSP
2008
IEEE
14 years 3 months ago
Maximum entropy models for speech confidence estimation
In this work we implement a confidence estimation system based on a Naive Bayes classifier, by using the maximum entropy paradigm. The model takes information from various sourc...
Claudio Estienne, Alberto Sanchís, Alfons J...