Báo cáo khoa học: "A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing" ppt
Tài liệu Báo cáo khoa học: "An Unsupervised Model for Joint Phrase Alignment and Extraction" ppt
... 5-gram model. For GIZA ++, we use the standard training reg-imen up to Model 4, and combine alignmentswith grow-diag-final -and. For the proposedmodels, we train for 100 iterations, and use the ... discrimi-native model that performs joint word alignment and phrase extraction, and found that joint estimation ofword alignments and extraction sets improves bothword alignment accuracy and translation ... removed for TMtraining. For both tasks, we perform weight tuning and testing on specified development and test sets.We compare the accuracy of our proposed methodof joint phrase alignment and extraction...
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Tài liệu Báo cáo khoa học: "A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining" pptx
... present a novel model of transliteration min-ing defined as a mixture of a transliteration model and a non-transliteration model. The transliteration model is a joint source channel model (Li et ... distribu-tion and require supervised/semi-supervised infor-mation for learning. We propose a flexible genera-tive model for transliteration mining usable for bothunsupervised and semi-supervised ... charactersof the source and target words are unrelated. We model them as randomly seeing a source word and atarget word together. The non-transliteration model uses random generation of characters...
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Báo cáo khoa học: A mouse model for in vivo tracking of the major dust mite allergen Der p 2 after inhalation docx
... separated liver and thoracic lymph node pro-teins revealed a radioactive band of 25 kDa in liver and bands of 30 and 56 kDa in thoracic lymphnodes (Fig. 5C). No radioactive protein bands couldbe ... mm.Fig. 1. The mouse model. (A) Immunization and challenge protocol for the mouse model. C57BL ⁄ 6 J mice were given 1 lgofDerp2adsorbed to aluminium hydroxide i.p. at day 0 and 14. The micewere ... betweensensitized and nonsensitized miceIsolated mouse tissues (lungs, kidneys, liver, spleen and thoracic lymph nodes) were homogenized and ana-lyzed for total protein content and radioactivity....
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Báo cáo khoa học: "A Probabilistic Model for Fine-Grained Expert Search" pptx
... evidence-oriented probabilistic model for ex-pert search and a method for the implementa-tion are proposed. Experimental results show that the proposed model and the implementa-tion are highly ... (Maconald and Ounis, 2006), query expansion (Macdonald and Ounis, 2007), hierarchical lan-guage model (Petkova and Croft, 2006), and for- mal model generation (Balog et al., 2006; Fang et al., ... sub-sections, we will detail two sub-models: the expert matching model P(c|e) and the evidence matching model P(e|q). 3.2 Expert Matching Model We expand the evidence e as quadruple <topic,...
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Báo cáo khoa học: "A Bayesian Model for Discovering Typological Implications" ppt
... log-scale for the x-axis).The two best-performing models are the two hier-archical models. The flat model does significantlyworse and the random model does terribly. The ver-tical lines are a standard ... use a nearlyidentical model to the FLAT model, but instead ofhaving a single m variable, we have three: one for IE, one for Austronesian and one for “all languages.” For a general tree, we ... feature-specific noise rate.We opt for a blend between the first and second op-Figure 2: Graphical model for the FLAT model. tion. We assume an underlying noise rate for the en-tire data set, but...
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Báo cáo khoa học: "A Sequencing Model for Situation Entity Classification" pdf
... discussesfeature sets, and sections 5 and 6 present models,experiments, and results.8962 Discourse modes and situation entitiesIn this section, we discuss some of the linguistic mo-tivation for SE classification ... test verbs for stativity and telicity. Manyof his indicators overlap with our features.Siegel and McKeown (2001) address classifica-tion of verbs for stativity (event vs. state) and for completedness ... categorial, and structural tests. In order to access categorial and structural information, we used the C&C2toolkit(Clark and Curran, 2004). It provides part-of-speechtags and Combinatory...
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Báo cáo khoa học: "A Morphographemic Model for Error Correction Nonconcatenative Strings" pot
... presents the formalism used, and sub- section 2.2 describes the model. 2.1 The Formalism In order to handle the non-linear phenomenon of Arabic, our model adopts the two-level formalism presented ... seamlessly with morphological analysis using a multi-tape formalism. Handling of various Semitic er- ror problems is illustrated, with reference to Arabic and Syriac examples. The model handles errors ... partition into surface and lexical contexts. They happily utilise the multi-tape format and integrate seamlessly into morphological analy- sis. PLC and PRC above are the left and right con- texts...
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Báo cáo khoa học: A new approach for distinguishing cathepsin E and D activity in antigen-processing organelles pdf
... double-distilled water ( 2.5-fold of the pellet volume for keratino-cytes and DCs, and fivefold of the pellet volume for B cells) and centrifugation at 100 000 g for 5 min with a BeckmanTL100 ultracentrifuge. ... different cell lines used for CatE and CatDdetermination For immunochemical determination of subcellularlocalization of CatE and CatD, western blot analysiswas performed. No CatE was recovered ... proteinases, CatE and CatD, and can therefore be used to investigate the involvementof these enzymes in antigen processing and presentation.Experimental proceduresEnzymes and chemicalsCatD...
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Tài liệu Báo cáo khoa học: "A Discriminative Syntactic Word Order Model for Machine Translation" pdf
... respect to a reasonably good target dependency tree is useful for addressing the search and modelingproblems for MT ordering.4 A Global Order Model for Target Dependency TreesIn the rest of the ... (Koehn,2004)) and language model- like features results in a model which significantly outperforms models usingonly some of the information sources.We also evaluate the contribution of our model to ... dependency trees en-code more information than is present in the source dependency trees and alignment.2.2 Task Setup for Reference Sentences vs MTOutputOur model uses input of the same form...
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Báo cáo khoa học: "A Discriminative Language Model with Pseudo-Negative Samples" pptx
... language models, dis-criminative language models can achievemore accurate discrimination because theycan employ overlapping features and non-local information. However, discriminative language models ... spe-cific applications and therefore were able to obtainreal negative examples easily. For example, Roark(2007) proposed a discriminative language model, inwhich a model is trained so that ... sets, and we treat correct or incorrect examples indepen-dently in training.3 Discriminative Language Model withPseudo-Negative samplesWe propose a novel discriminative language model; a Discriminative...
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