word selection based feature reduction
Báo cáo khoa học: "Word Clustering and Word Selection based Feature Reduction for MaxEnt based Hindi NER" ppt
... Word Selection It is noted that not all words are equally importantin determining the NE category. Some of the words492 Feature Using Word FeaturesUsingWords(I1)UsingWords(I2)UsingWords(I3)wi, ... 6: F-values for different features in a MaxEnt based Hindi NER with important word based feature reduction [window(−m, +n) refers to the important word or baseline word features corresponding to ... used the clusters for feature reduction. In this paper we propose two feature reduction techniques for Hindi NER based on word cluster-ing and word selection. A number of word similar-ity measures...
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Tài liệu Báo cáo khoa học: "Learning Word Senses With Feature Selection and Order Identification Capabilities" pdf
... efforts on word sense dis-crimination. In section 5 we will conclude our workand suggest some possible improvements.2 Learning Procedure2.1 Feature selection Feature selection for word sense ... better feature selection. Since the sense associated with a word s occur-rence is always determined by some feature wordsin its contexts, it is reasonable to suppose that theselected features ... validation based feature selection in feature set used by CGD.Then Cluster algorithm was used to group target word s instances using Euclidean distance measure.τ was set as 0.90 in feature subset...
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Tài liệu Báo cáo khoa học: "An Information-Theory-Based Feature Type Analysis for the Modelling of Statistical Parsing" docx
... objective feature typesClass Feature type PIQ(Y;R)History feature type Y= headword of the parent 2.3253Y= the first word in the objective word sequence 3.2398Objective feature typeY= the second word ... modify the headword2.8757(Y= the first word in the objective word sequencewhich has the possibility to modify the headword)the exact headword information 3.7333(Y= the headword of the current ... the headword of the currentnode (type1), the headword of the parent node(type2), the headword of the grandpa node(type3), the first word in the objective word sequence(type4), the first word...
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Báo cáo y học: "Comparative study of control selection in a national population -based case-control study: Estimating risk of smoking on cancer deaths in Chinese men"
... a population -based case-control study to assess the validation of the novel control selection design by comparing the consistency between the new design and a routine control selection design ... data. The sex-matched living spouse control design as an alternative control selection for a nationwide popula-tion -based case-control study is valid and feasible, and can produce highly acceptable ... 33.1%), and other medical disorders (360–389, 680–709, 780–796, 7.9%). The selection of controls in this study was based on three assumptions: (1) the individuals in both control groups had,...
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Tài liệu Báo cáo khoa học: "Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT" pdf
... features onthe development set. The number of features risesto 4.7 million without feature selection, which iter-atively selects 100,000 features with best 2normvalues across shards. Feature ... of the corresponding feature acrosstasks/shards. The 1sum of the 2norms en-forces a selection among features based on thesenorms. Consider for example the two 5 -feature, 3-task weight ... shards. We compute the 2norm ofthe weights in each feature column, sort features bythis value, and keep K features in the model. This feature selection procedure is done after each epoch.Reduced...
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Tài liệu Báo cáo khoa học: "A Ranking-based Approach to Word Reordering for Statistical Machine Translation" doc
... the word order in target language. To this end, wepropose a simple but effective ranking -based ap-proach to word reordering. The ranking model isautomatically derived from the word aligned ... pre-reordering – an approach thatre-positions source words to approximate target lan-guage word order as much as possible based on thefeatures from source syntactic parse trees. This isusually ... annotatorstend to align function words which might be left un-aligned by automatic word aligner.5.6 Effect of Ranking FeaturesHere we examine the effect of features for rankingreorder model....
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Tài liệu Báo cáo khoa học: "HITS-based Seed Selection and Stop List Construction for Bootstrapping" doc
... neighboring con-texts: collocational features and bag-of-words fea-tures. For collocational features, we set a window ofthree words to the right and left of the target word. 4.2 Evaluation methodologyWe ... 2008). Each word comes with a number of instances (contextsentences) in which the target word occur, and someof these sentences are manually labeled with the cor-rect sense of the target word in ... We lowercasedwords in the sentence and pre-processed them withthe Porter stemmer (Porter, 1980) to get the stems ofwords.Following (Komachi et al., 2008), we used twotypes of features extracted...
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Tài liệu Báo cáo khoa học: "A Novel Feature-based Approach to Chinese Entity Relation Extraction" ppt
... approaches include feature -based and kernel -based classification. Feature -based approaches transform the context of two entities into a liner vector of carefully selected linguistic features, varying ... context information. 3.1 Classification Features The classification is based on the following four types of features. z Entity Positional Structure Features We define and examine nine finer ... merged into three coarser structures. z Entity Features Entity types and subtypes are concerned. z Entity Context Features These are character -based features. We consider both internal and external...
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Tài liệu Báo cáo khoa học: "A Feature Based Approach to Leveraging Context for Classifying Newsgroup Style Discussion Segments" pptx
... corpus. We also included a feature that indicated the number of words in the segment. Thread Structure Features. The simplest context-oriented feature we can add based on the threaded structure ... single message in our evaluation below. 3 Feature Based Approach In previous text classification research, more atten-tion to the selection of predictive features has been done for text classification ... base features, we began with typical text features ex-tracted from the raw text, including unstemmed uni-grams and punctuation. We did not remove stop words, although we did remove features...
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Asset based approaches to poverty reduction moser 2
... paper provides a brief introduction to asset -based approaches to poverty reduction in a globalized context. e aim is to show the added value of asset -based approaches, in terms of both bet-ter ... asset -based ap-proaches, for both better understanding poverty and developing appropriate long-term poverty reduc-tion solutions. e paper discusses asset -based approaches to poverty reduction ... contributions to the recent Brookings Institution/Ford Foundation Workshop on Asset -based approaches to poverty reduction in a globalized context held in Washington DC on 27–8 June 2006. e paper...
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Tài liệu Báo cáo khoa học: "AN EXTENDED LR PARSING ALGORITHM FOR GRAMMARS USING FEATURE-BASED SYNTACTIC CATEGORIES " pot
... hand, in a grammar with feature- based categories, as proposed by most recent syntactic theories, it is no longer the case. 3 Construction of the GOTO Table for Feature -Based Categories: A ... whose feature specification within the depth allowed by the resu'ictor is identical to, or subsumed by, a previous one. In addition to the halting problem, the incorporation of feature -based ... Information -Based Syntax and Semantics VoI.1. CSLI Lecture Notes 13. Stanford: CSLI. Shieber, S. 1985. "Using Restriction to Extend Parsing Algorithms for Complex- Feature -Based Formalisms"...
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- discrete wavelet transform based selection
- a syllable based word recognition model
- language model based arabic word segmentation
- a new feature selection score
- a feature based approach to leveraging context
- feature based phonetic method
- a framework of feature selection methods
- multilingual transliteration using feature based phonetic method
- unit selection based speech synthesis
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