[PDF] Top 20 Chinese Tagging Based on Maximum Entropy Model
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Chinese Tagging Based on Maximum Entropy Model
... POS tagging for Chinese ...are based on a maximum entropy frame- work (Ratnaparkhi, 1996; Xue and Shen, ...the model, the imple- mentation of the models is wholly done ... See full document
5
Chinese Microblogs Sentiment Classification using Maximum Entropy
... Weibo users share their different ideas towards a same topic, and these messages they post may be of positive, negative or neutral sentiment. By classifying the polarity of a piece of microblog, we can find out an ... See full document
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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 ... See full document
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A Shallow Discourse Parsing System Based On Maximum Entropy Model
... We would like to thank the shared task orga- nizers for their support throughout this work. This work is partially supported by the Na- tional Natural Science Foundation of China (Nos. 11161140319, 91120001, 61271426), ... See full document
5
Maximum Entropy Translation Model in Dependency Based MT Framework
... For a given pair of aligned nodes, the feature vector was of course derived only from the source- side node or from the tree which it belongs to. As already mentioned in the introduction, the advan- tage of the ... See full document
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A radiative-convective model based on constrained maximum entropy production
... 1975), maximum entropy pro- duction (MEP; Martyushev and Seleznev, 2006) is also used as a closure hypothesis in ...its entropy production due to internal heat ... See full document
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Maximum Entropy for Chinese Comma Classification with Rich Linguistic Features
... the Chinese comma classification based on Chinese discourse relationship ...with maximum entropy ...method based on linguis- tic features for classification of comma is ... See full document
7
Maximum Entropy based Rule Selection Model for Syntax based Statistical Machine Translation
... for non-ambiguous source tree will be set to 1.0. Therefore, the decoder will prefer to use non-ambiguous TATs. However, non- ambiguous TATs usually occur only once in the training corpus, which are not reliable. Thus we ... See full document
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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] ... See full document
5
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 ... See full document
13
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] ... See full document
10
Chinese Sentiment Analysis Using Maximum Entropy
... using maximum Entropy, the first step is to identify a set of feature functions which define a ...the model distribution. Maximum Entropy models are feature-based ...the ... See full document
5
Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation
... Why do we use the first words as features? These words are nicely at the boundary of blocks. One of assumptions of phrase-based SMT is that phrase cohere across two languages (Fox, 2002), which means phrases in ... See full document
8
Applying Maximum Entropy to Robust Chinese Shallow Parsing
... wrong tagging in other POS categories, affect the performance of shallow parsing substantially We can not comment on which part-of-speech tags are the major factors in Chinese chunking without conducting ... See full document
15
Maximum Entropy Modeling in Sparse Semantic Tagging
... Maximum Entropy (MaxEnt) principle has been success- fully applied in many classification and tagging tasks (Rat- naparkhi, 1996; K. Nigam and A.McCallum, 1999; A. Mc- Callum and Pereira, 2000). We ... See full document
6
Mencius: A Chinese Named Entity Recognizer Using the Maximum Entropy-based Hybrid Model
... a Chinese NER system, called ...a Maximum Entropy-based Framework and a word segmentation module: (1) Template-based with Char-based Tokenization (TC), (2) Template-based ... See full document
18
Chinese Chunking Based on Maximum Entropy Markov Models
... new Chinese chunking method based on maximum entropy Markov ...of Chinese chunking specifications and data sets, based on which the chunking models are ...chunking model ... See full document
22
NP Bracketing by Maximum Entropy Tagging and SVM Reranking
... We use a Viterbi-like dynamic programming de- coding algorithm, where transition probabilities are governed by the discriminative tagging model. However, the tags generated by our decoder are not the same ... See full document
8
A Maximum Entropy Chinese Character Based Parser
... The first step of training a character-based parser is to convert word-based parse trees into character- based trees. We derive character-level tags from word-level POS tags and encode word-boundary ... See full document
8
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] ... See full document
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