Search results for " Natural Language"

showing 10 items of 192 documents

"Table 13" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=2g_\textrm{D}$ monopoles of mass 200 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 6" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=1g_\textrm{D}$ monopoles of mass 500 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 12" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=1g_\textrm{D}$ monopoles of mass 4000 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 11" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=1g_\textrm{D}$ monopoles of mass 3000 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 8" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=1g_\textrm{D}$ monopoles of mass 1500 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 18" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=2g_\textrm{D}$ monopoles of mass 2500 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 9" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=1g_\textrm{D}$ monopoles of mass 2000 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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"Table 5" of "Search for magnetic monopoles and stable high-electric-charge objects in 13 TeV proton-proton collisions with the ATLAS detector"

2019

Selection efficiency as a function of transverse kinetic energy $E^\text{kin}_\text{T}=E_\text{kin}\sin\theta$ and pseudorapidity $|\eta|$ for $g=1g_\textrm{D}$ monopoles of mass 200 GeV.

Monopole13000.0Computer Science::Information RetrievalQuantitative Biology::Populations and EvolutionEFFComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)High Energy Physics::ExperimentMEfficiencyNuclear Experiment
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Enhanced query processing for NoSQL crowdsourcing systems

2014

In this paper, we provide a novel approach for effectively and efficiently support query processing tasks in novel NoSQL crowdsourcing systems. The idea of our method is to exploit the social knowledge available from reviews about products of any kind, freely provided by customers through specialized web sites. We thus define a NoSQL database system for large collections of product reviews, where queries can be expressed in terms of natural language sentences whose answers are modeled as lists of products ranked based on the relevance of reviews w.r.t. the natural language sentences. The best ranked products in the result list can be seen as the best hints for the user based on crowd opinio…

Motion picturesData structuresExploitComputer scienceNatural languagesCrowdsourcingNoSQLcomputer.software_genreSemanticsComputational Theory and MathematicRelevance (information retrieval)Data miningComputational Theory and Mathematics; 1707; Software1707Information retrievalbusiness.industrySearch engine indexingSemantics; Natural languages; Motion pictures; Data mining; Indexing; Data structures;Data structureSemanticsComputational Theory and MathematicsIndexingbusinessSettore ING-INF/05 - Sistemi di Elaborazione delle InformazionicomputerNatural languageSoftware
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An integrated architecture for speech-input multi-target machine translation

2007

The aim of this work is to show the ability of finite-state transducers to simultaneously translate speech into multiple languages. Our proposal deals with an extension of stochastic finite-state transducers that can produce more than one output at the same time. These kind of devices offer great versatility for the integration with other finite-state devices such as acoustic models in order to produce a speech translation system. This proposal has been evaluated in a practical situation, and its results have been compared with those obtained using a standard mono-target speech transducer.

Multi targetIntegrated architectureMachine translationComputer Science::SoundComputer scienceSpeech translationSpeech recognitionSpeech inputComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Extension (predicate logic)computer.software_genrecomputerHuman Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX - NAACL '07
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