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context-dependent models

Context-dependent factored language models

Context-dependent factored language models

... The first step in building context-dependent models was to define factors. The Obeliks tagger generates tags according to the JOS specifications, in which 12 different POS tags are defined, some of ...

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Pitfalls of the most commonly used models of context dependent substitution

Pitfalls of the most commonly used models of context dependent substitution

... called context dependent substitution ...concerning context dependent models refer to the independent tuple ...Early models of context dependent substitution ...

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Context Dependent Alignment Models for Statistical Machine Translation

Context Dependent Alignment Models for Statistical Machine Translation

... form experiments on the NIST Arabic-English transla- tion task. The mt02 05 tune and mt02 05 test data sets are formed from the odd and even numbered sentences of the NIST MT02 to MT05 evaluation sets respectively; each ...

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Context Dependent Knowledge Graph Embedding

Context Dependent Knowledge Graph Embedding

... This paper proposes a two-stage embedding scheme that explicitly takes into account both C- CPs and LCPs, called context-dependent KG em- bedding. In the first stage, each CCP is formalized as a knowledge ...

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Stance Classification of Context Dependent Claims

Stance Classification of Context Dependent Claims

... Ran Levy, Yonatan Bilu, Daniel Hershcovich, Ehud Aharoni, and Noam Slonim. 2014. Context depen- dent claim detection. In Proceedings of COLING 2014, the 25th International Conference on Compu- tational ...

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Discrimination problems in context-dependent memory

Discrimination problems in context-dependent memory

... Under a memory as discrimination view a manipulation of encoding-retrieval match between the cue and the target may be of benefit insofar as it specifies a single candidate, but it may h[r] ...

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Context-Dependent Logo Matching and Recognition

Context-Dependent Logo Matching and Recognition

... the context and the regularization of the solution via our energy function, (iii) the tolerance to different aspects including partial occlusion, makes it suitable to detect both near-duplicate logos as well as ...

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Publishing and discovering context-dependent services

Publishing and discovering context-dependent services

... To be able to select and invoke a service that meets its requirements, a service requester should initiate a discovery process. The discovery process includes service query, ser- vice matching, and service ranking. ...

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Improving PCFG Chinese Parsing with Context Dependent Probability Re estimation

Improving PCFG Chinese Parsing with Context Dependent Probability Re estimation

... Treebank: We employ Sinica Treebank as our experimental corpus. It contains 61,087 syntactic tree structures and 361,834 words. The syntactic theory of Sinica Treebank is based on the Head- Driven Principle (Huang et ...

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Mutation site and context dependent effects of ESR1 mutation in genome edited breast cancer cell models

Mutation site and context dependent effects of ESR1 mutation in genome edited breast cancer cell models

... Results: Cells with ESR1 mutations displayed ligand-independent ER activity, and were resistant to several SERMs and SERDs, with cell line and mutation-specific differences with respect to magnitude of effect. The SERD ...

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An examination of NPD models in the context of business models

An examination of NPD models in the context of business models

... Permanent repository link: http://openaccess.city.ac.uk/13877/ Link to published version: http://dx.doi.org/10.1016/j.jbusres.2015.10.087 Copyright and reuse: City Research Online aims t[r] ...

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An examination of NPD models in the context of business models

An examination of NPD models in the context of business models

... By considering adoption options, price effect, and customer dis-adoption, the extended Bass-type model takes the business models of the three cases into consideration (see Table 3). First, all three cases offer ...

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Maximum Entropy based Rule Selection Model for Syntax based Statistical Machine Translation

Maximum Entropy based Rule Selection Model for Syntax based Statistical Machine Translation

... In this paper, we propose a novel solution for rule selection for syntax-based SMT. We use the maximum entropy approach to combine rich con- textual information around a rule and the informa- tion of sub-trees covered by ...

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Context dependent learning in a SRT task

Context dependent learning in a SRT task

... changed context, as was ...of context-dependent memory effects, depends on which perceptual context features are ...the context during learning, no contextual information is stored in ...

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A Simple-Minded Network Model with Context-like Objects

A Simple-Minded Network Model with Context-like Objects

... formalising context in order to compare dif ferent conceptions, is to not distinguish contexts from other object of reasoning, learning ...of context and context-related structures can be seen as ...

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Heavy-tailed distribution in the presence of dependence in insurance and finance

Heavy-tailed distribution in the presence of dependence in insurance and finance

... size dependent model to study the large deviation of the aggregate amount of claims in a renewal risk model, and obtained a precise large-deviation formula for a heavy-tailed ...

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Using Ecological Modeling to Enhance Instruction in Population Dynamics and to Stimulate Scientific Thinking

Using Ecological Modeling to Enhance Instruction in Population Dynamics and to Stimulate Scientific Thinking

... oped to describe the population dynamics of flies (Godoy, 2007). The results from this experiment (Table 2) suggest that C. putoria shows a significant decrease in fecundity and sur- vival as a function of larval ...

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Half Context Language Models

Half Context Language Models

... half- context hypothesis is that we need two different types of classes: one set of classes for the predictors and another set of classes for the ...half-context models are inherently asymmetric, ...

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Process and context in choice models

Process and context in choice models

... social context is the adoption of an ...diffuses. Models of innovation diffusion such as the Bass model in marketing (Bass 1969) appear throughout the social sciences and bear a close relationship to ...

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Automated Intelligibility Assessment of Pathological Speech Using Phonological Features

Automated Intelligibility Assessment of Pathological Speech Using Phonological Features

... validation group with the targeted pathology. However, for training the regression coefficients of the IPM we use all the speakers in the training fold. This way we can alleviate the problem of having an insufficient number ...

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