The WCRP CMIP3 multi-model dataset
Comparison of climate change signals in CMIP3 and CMIP5 multi model ensembles and implications for Central Asian glaciers
... outline dataset was provided by ...Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for ...
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Multi News: A Large Scale Multi Document Summarization Dataset and Abstractive Hierarchical Model
... but Multi-News is comparable and similar to the abstractiveness of SDS ...a dataset, which we use here for a ...the multi-document setting by concatenating the source documents and treating them as a ...
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Reader Aware Multi Document Summarization: An Enhanced Model and The First Dataset
... content is available. Figure 1 is a snapshot of reader comments under the news report “The most important announcements from Google’s big de- velopers’ conference” 2 . The content of the orig- inal news report talks ...
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A Dataset for Multi Target Stance Detection
... this dataset is that for the majority of the tweets, the contexts windows have significant overlaps, as the two hashtags appeared in the close vicinity of each ...this model shows improvement over the ...
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WCRP Observation and Assimilation Panel (WOAP)
... for Model Evaluations. K. Taylor noted that the Coupled Model Intercomparison Project (CMIP) has been a success, the reasons for this being because strict data standards were imposed building on the CF ...
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DENS: A Dataset for Multi class Emotion Analysis
... new dataset for multi-class emotion analysis from long-form narratives in ...The Dataset for Emotions of Nar- rative Sequences (DENS) was collected from both classic literature available on Project ...
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Comprehensive Multi Dataset Evaluation of Reading Comprehension
... baseline model on various development sets and heuris- tically generated ...augmentation- dataset pairs but only marginally for ...the model struggles to grasp the correct reasoning behind two answer ...
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DailyDialog: A Manually Labelled Multi turn Dialogue Dataset
... OpenSubtitle dataset is constructed by movie lines, whereas our datasets are daily ...our dataset has in average 8 turns. To pretrain a model by corpus from different domain will harm its performance ...
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Understanding Dataset Design Choices for Multi hop Reasoning
... for multi-hop reasoning, do mod- els really need to do multi-hop reasoning to do well on them? Recent work has shown that large- scale QA datasets often do not exhibit their adver- tised properties (Chen et ...
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Challenges and Opportunities in Water Cycle Research: WCRP Contributions
... international Multi-Model Ensemble (MME) efforts such as the WMO lead center for long range forecasts: ...push WCRP research and development priorities, as users provide feedback on weaknesses and ...
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A Multi lingual Annotated Dataset for Aspect Oriented Opinion Mining
... a multi-lingual extension of Trip-MA, originally presented in (Marcheggiani et ...measured dataset statistics and inter-annotator agreement, which show that the new ES and IT parts we produced are consis- ...
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SECURING PUBLIC CLOUD USING MULTI-ATTRIBUTE, MULTI-AUTHORITY LAYER SCHEME WITH DATASET FRAGMENTS
... Cloud figuring accessible encryption is a testing undertaking. Nonetheless, most of the current works pursue the model of "one size fits all" and disregard customized look over outs sourced scrambled ...
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Climate impacts of the southern annular mode simulated by the CMIP3 models
... Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP’s Working Group on Coupled Modelling (WGCM) for their roles in making available the WCRP CMIP3 multimodel ...this dataset is ...
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CLEVR Dialog: A Diagnostic Dataset for Multi Round Reasoning in Visual Dialog
... Observations. The NDCG values to evalute both textual and visual groundings for CorefNMN are shown in Fig. 13. An important takeaway being that the model is able to accurately ground the ref- erences in the ...
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A New Multi-Class WSVM Classification to Imbalanced Human Activity Dataset
... x ∈ are vectors in an n-dimensional feature space, each with a class label. In the k-NN method, the result of a new query is classified based on the majority of the k- NN category. The classifiers do not use any ...
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Skill of precipitation projectionin the Chao Phraya river Basinby multi-model ensemble CMIP3-CMIP5
... climate model ensembles, CMIP3 and CMIP5, in projection of ...of CMIP3 and ...Both CMIP3 and CMIP5 models underestimate the mean precipitation in the southwestern and eastern regions for ...
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ISTI WCRP OSC
... • Working Group instigated – Data rescue task team. – Provenance and version control task team • Development version posted[r] ...
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Evaluation of the AR4 CMIP3 and the AR5 CMIP5 model and projections for precipitation in northeast Brazil
... from CMIP3 to CMIP5 during this ...from CMIP3 (Gfdl_cm2_0, Ipsl_cm4, and Iap_goals_1_0_g) show correlations statistically significant over NEB (Figures ...
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WCRP Overview World Climate Research Programme
... • Working Group on Coupled Modelling (WGCM) leads the development of coupled ocean/atmosphere/land models used for climate studies on longer time-scales. WGCM is also WCRP's link to the[r] ...
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Watermarking of Dataset with Usability Constraints Model
... the dataset and will also not claim the ownership of the ...the dataset, one has to ensure that the predictive ability of a feature or an attribute is preserved; as a result, the classification results ...
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