domain models
On the Effective Configuration of Planning Domain Models
... different models affect the relative performance of planners, we simulate the execution of three “planning competitions” between the six considered planners on the 50 testing instances of the selected ...
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Acquiring planning domain models using LOCM
... planning domain model from example training ...of domain model it has to generate, rather than handcrafted clues or planner-oriented ...of domain models from five ...
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Creating Planning Domain Models in KEWI
... planning domain models, and given a for- mal account of parts of its structure and ...support domain experts in encoding knowledge (ii) it is designed so that it can be used to acquire a range of ...
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Importing ontological information into planning domain models
... the domain modelling ...inventing models for every application is acute: given there are many existing domain models, how can one re-use pre- viously captured planning domain ...
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MEASURING COMPLEXITY OF DOMAIN MODELS REPRESENTED BY FEATURE DIAGRAMS
... feature models. Such models, which represent a set of domain-related features and their relationships, are usually described using Feature Diagrams ...(Feature-Oriented Domain Analysis) yet in ...
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Domain Models Schemas: A Semantic Web Perspective
... the domain modeled in several manners. Three widespread domain modeling schemes are adopted in several applications which are: taxonomy, thesaurus and ...a domain from abstract to ...
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Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation
... general- domain NMT performance during continued train- ...in-domain models pro- vides most of the in-domain gain from contin- ued training while retaining most of the general- domain ...
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Automated Knowledge Engineering Tools in Planning: State of the art and Future Challenges
... a domain model from observing plan ...action models from a set of suc- cessfully observed ...output domain model which systems induce for dealing with complex real ...encoding domain ...
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Multi Domain Adaptation for SMT Using Multi Task Learning
... SMT models to multiple ...specific domain with an in-domain Translation Model (TM) and an in-domain Language Model ...general- domain models, while domain knowledge can be ...
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ASPIRE: An Authoring System and Deployment Environment for Constraint Based Tutors
... required domain models to be developed ...enables domain experts to easily develop new constraint-based tutors, and a tutoring server (ASPIRE-Tutor), which deploys the developed ...the domain ...
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Fast Domain Adaptation of SMT models without in Domain Parallel Data
... across models) by performing repeated optimizations for out-domain models on a number of parallel development sets (see section 4 for more details of this data) using a traditional optimization ...
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The role of lifestyle in perpetuating substance use disorder: the Lifestyle Balance Model
... of domain models in the treatment of SUD The components of domain models may be useful not only in conceptualizing the aetiology of SUD and identi- fying target areas for change, but also for ...
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Latent Domain Phrase based Models for Adaptation
... Phrase-based models directly trained on mix-of-domain corpora can be ...phrase-based models with a latent domain variable and present a novel method for adapting them to an in-domain ...
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Latent Domain Translation Models in Mix of Domains Haystack
... latent domain translation model which includes domain priors, domain- dependent translation models and language ...out-domain models (given only in- and mix-domain ...
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An Empirical Investigation of Discounting in Cross Domain Language Models
... the domain-relevant portion of a large, gen- eral corpus given a small in-domain ...implicitly models both growing discounts, since frequent n-grams will appear in more of the re- jected sentences, ...
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A Detailed Evaluation of Neural Sequence to Sequence Models for In domain and Cross domain Text Simplification
... In recent years, the problem of automated sentence simpli- fication has often been addressed as the monolingual ma- chine translation (MT) task of translating from original to simple sentences. The MT models used ...
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Structured and Unstructured Cache Models for SMT Domain Adaptation
... general domain model, these same words are assumed to be useful for the full document and so the cache contents remain constant during translation of the full ...
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An Overview of Structural Information Processing Models in the Cognitive Domain
... Globally considered, the model of Haber and Hershenson differentiates from the single-channel Broadbent model therein the short-term memory undertakes the function of the Broadbent's p - system, i.e. the role of the ...
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A Cross Domain Transferable Neural Coherence Model
... open domain evaluation as the one used in (Li and Jurafsky, ...the domain, or generic semantic ...ence models capture cross-domain transferrable ...the models trained on Person ar- ...
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An annotated dataset of literary entities
... We draw our corpus from the public-domain texts on Project Gutenberg, selecting individual works of fiction (both novels and short stories) that in- clude a mix of high literary style (e.g., Edith Whar- ton’s Age ...
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