maximum-entropy model
Maximum entropy model for business cycle synchronization
... The global economy is a complex dynamical system, whose cyclical fluctua- tions can mainly be characterized by simultaneous recessions or expansions of major economies. Thus, the researches on the synchronization ...
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Automatic Image Annotation Using Maximum Entropy Model
... Co-occurrence model [4] in the average precision and recall. Since our model uses the blob-tokens to represent the contents of the image regions and converts the task of automatic image annotation to a ...
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Analysis System of Speech Acts and Discourse Structures Using Maximum Entropy Model
... In this paper, we propose a dialogue analysis model to determine both the speech acts of utterances and the discourse structure of a dialogue using maximum entropy model.. In the propose[r] ...
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Reducing Parsing Complexity by Intra Sentence Segmentation based on Maximum Entropy Model
... This pa- per addresses the reduction of parsing com- plexity by intra-sentence segmentation, and presents maximum entropy model for deter- mining segmentation positions.. The model featu[r] ...
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Name Origin Recognition Using Maximum Entropy Model and Diverse Features
... Unlike previous work (Qu and Grefenstette, 2004; Li et al., 2006; Li et al., 2007) where NOR was formulated with a generative model, we re- gard the NOR task as a classification problem. We further propose using a ...
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Identification of Basic Phrases for Kazakh Language using Maximum Entropy Model
... Automatic phrase identification is an important task in natural language processing. A phrase is a group of words that work together. Phrase recognition is a grammatical unit agent between words and sentences in natural ...
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Grammatical Error Detection and Correction using a Single Maximum Entropy Model
... This paper describes the system of Shang- hai Jiao Tong Unvierity team in the CoNLL-2014 shared task. Error correc- tion operations are encoded as a group of predefined labels and therefore the task is formulized as a ...
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Using a maximum entropy model to build segmentation lattices for MT
... a maximum entropy model for compound word segmentation and used it to generate segmentation lattices for input into a sta- tistical machine translation ...segmentation model we propose is ...
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A Maximum Entropy Model for Prepositional Phrase Attachment
... A Maximum Entropy Model for Prepositional Phrase Attachment A Maximum Entropy Model for Prepositional Phrase Attachment A d w a i t R a t n a p a r k h i , J e f f Reynar,* a n d S a l i m R o u k o s[.] ...
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Maximum Entropy Model Learning of the Translation Rules
... Maximum Entropy Model Learning of the Translation Rules M a x i m u m E n t r o p y M o d e l Learning o f t h e T r a n s l a t i o n R u l e s K e n g o S a t o and M a s a k a z u N a k a n i s h i[.] ...
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Maximum Entropy Model Learning of the Translation Rules
... We have described an approach to learn the translation rules from parallel corpora based on the maximum entropy method.. As feature functions, we have defined two models, one with co-occ[r] ...
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Chinese Tagging Based on Maximum Entropy Model
... tion task, POS tagging for Chinese language. In this bakeoff, our models built for the tasks are sim- ilar to that in the work of Ng and Low (2004). The models are based on a maximum entropy frame- work ...
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A Lucene and Maximum Entropy Model Based Hedge Detection System
... In this paper, we described the hedge detection system we developed to participate in the shared task of CoNLL-2010. Our system uses a heuristic learner to learn hedge cues, and uses MaxEnt as its machine learning ...
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Named Entity Extraction Based on A Maximum Entropy Model and Transformation Rules
... ˼fÃ1ßØÂQËÒ× É½¿øMÙfà éÉ aÂFÀÂaÉñÚË+¼Ã éê éÉàxÓaÄ+Ê... Ë+¼Ã Û?ÜÝÏ2Ü àùÓFÄ+Ê.ÙfßØÂQË+½ÞÓaÉ..[r] ...
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A Maximum Entropy Model for Part Of Speech Tagging
... The model with specialized features does not perform much better t h a n the baseline model, and further discovery or refinement of word-based fea- tures is difficult given the inconsist[r] ...
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A Shallow Discourse Parsing System Based On Maximum Entropy Model
... This paper describes our system for Shal- low Discourse Parsing - the CoNLL 2015 Shared Task. We regard this as a classi- fication task and build a cascaded system based on Maximum Entropy to identify the ...
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Maximum Entropy based Rule Selection Model for Syntax based Statistical Machine Translation
... Although we find that some single features may hurt the BLEU score, they are useful in combina- tion of features. This is because one of the strengths of the maximum entropy model is that it can in- ...
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Maximum Entropy Based Lexical Reordering Model for Hierarchical Phrase-based Machine Translation
... language model to capture long- distance word ...a maximum entropy classifier to select proper translation rules during ...joint model for SCFG rule ...free model and context based ...
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Exponential Priors for Maximum Entropy Models
... Chen and Goodman (1999) performed an extensive comparison of different smoothing (regularization) tech- niques for language modeling. They found that a ver- sion of Kneser-Ney smoothing (Kneser and Ney, 1995) ...
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Maximum Entropy Models for FrameNet Classification
... described here are not equivalent to the subset conditional distributions that are used in the Gildea and Jurafsky model. ME models are log-linear models in which feature functions map specific instances of ...
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