maximum entropy-based approach
Semi Supervised Maximum Entropy Based Approach to Acronym and Abbreviation Normalization in Medical Texts
... Maximum Entropy is a relatively new statistical technique to Natural Language Processing, although the notion of maximum entropy has been around for a long ...the entropy of a uniform ...
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A Maximum-Entropy approach for accurate document annotation in the biomedical domain
... The approach that we follow for automated document annotation of biomedical litera- ture documents with MeSH concepts creates a context model for each and every con- cept of the used ...a Maximum ...
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A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
... methods based on singular value decom- ...1998) based approaches to matrix approximation are quite often inappropriate for certain data matrices such as co-occurrence and contingency tables as singular ...
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Maximum Entropy Based Restoration of Arabic Diacritics
... a maximum entropy approach for restoring diacritics in a doc- ...The approach can easily integrate and make effective use of diverse types of information; the model we propose inte- grates a ...
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A Lucene and Maximum Entropy Model Based Hedge Detection System
... the approach to hedge detection we developed, in order to participate in the shared task at CoNLL- ...learning approach is employed in our ...set. Maximum Entropy (MaxEnt) model is used as the ...
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Exploiting Pinyin Constraints in Pinyin-to-Character Conversion Task: a Class-Based Maximum Entropy Markov Model Approach
... Many techniques have been proposed to address the drawbacks of the traditional ngram model. To solve the data sparseness problem, various kinds of smoothing techniques have been proposed, such as additive smoothing ...
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Chinese Tagging Based on Maximum Entropy Model
... are based on the maximum entropy approach, we concentrated on the word segmentation task for the bakeoff and our best official results on all the corpora for this task are ...
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A maximum entropy approach to detect close-in giant planets around active stars
... The numerous detections of exoplanets reported in the last two decades highlight the relatively small population of planets dis- covered around young stars. These lack of detections, because of the limitations of ...
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Generalized Maximum Entropy Estimation
... noise. Based on duality of convex programming, we present a novel approximation scheme using a smoothed fast gradient method that is equipped with explicit bounds on the approximation ...programming ...
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Economic-environmental efficiency of European agriculture – a generalized maximum entropy approach
... Korea based on the material balance theory, revealing a high variability in the coeffi- Figure ...elaboration based on data from the Eurostat (more information in ...
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FrameNet based Semantic Parsing using Maximum Entropy Models
... In addition to the separate two phase model of frame element identification and role classification, they provide an integrated model that exhibits improved performance. They define a frame element group (FEG) as a set ...
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Maximum Entropy Translation Model in Dependency Based MT Framework
... noisy-channel approach is typi- cally compensated by using large target-language n-gram models, which can – in a result – play a role similar to that of a more elaborate (more con- text sensitive) forward ...
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Color Image Stitching Using Scale Invariant Feature Transform With 2-Dimensional Entropy Segmentation
... Although the SIFT guarantees the feature invariance with respect to the image rotation and scale changing, as well as generates a large number of feature points, the number of matching points detected by SIFT is small. ...
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Named Entity Recognition: A Maximum Entropy Approach Using Global Information
... a maximum entropy-based named entity recognizer ...sentence- based classifier. In this paper, we show that the maximum entropy framework is able to make use of global information ...
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Chinese Chunking Based on Maximum Entropy Markov Models
... method based on maximum entropy Markov ...sets, based on which the chunking models are ...and maximum entropy chunking model. Based on our analysis of the two models, we ...
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Maximum Entropy Based Phrase Reordering for Hierarchical Phrase Based Translation
... MaxEnt based phrase reordering approach to help the HPB decoder select reordering ...proposed approach achieved signif- icant improvements over the ...
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A Maximum Entropy Chinese Character Based Parser
... Chinese word segmentation is a well-known prob- lem that has been studied extensively (Wu and Fung, 1994; Sproat et al., 1996; Luo and Roukos, 1996) and it is known that human agreement is relatively low. Without knowing ...
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Maximum entropy design of water distribution systems under multiple operating conditions
... systems based on a multi-objective genetic algorithm, namely NSGA II, coupled with water distribution network simulation software, EPANET 2 and subroutine that calculates ...reliability-based ...
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Predicting Shear Stress Distribution in Rectangular Channels Using Entropy Concept
... The entropy concept provides an excellent vehicle for introducing probability into hydraulics, making dealing with uncertainties inherent in hydraulic processes possible and helping to develop sampling schemes in ...
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A Maximum Entropy Approach for Semantic Language Modeling
... the maximum-entropy-based (ME) hybrid language model with the linear-interpolation-based (LI) hybrid language ...calculated based on the interpolation of estimated distribution and ...
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