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Application of Question and Answering on Virtual Human Dialogue:a Review and Prediction
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作者 刘里 《Journal of Donghua University(English Edition)》 EI CAS 2015年第2期341-344,共4页
Nowadays,virtual human(VH) is becoming a hot research topic in virtualization.VH dialogue can be categorized as an application of natural language processing(NLP) technology,since it is relational to question and answ... Nowadays,virtual human(VH) is becoming a hot research topic in virtualization.VH dialogue can be categorized as an application of natural language processing(NLP) technology,since it is relational to question and answering(QA) technologies.In order to integrate these technologies,this paper reviews some important work on VH dialogue,and predicts some research points on the view of QA technologies. 展开更多
关键词 dialogue conversational becoming Prediction sentences discussion relational interactive questions integrate
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Ensemble Mean Forecast Skill and Applications with the T213 Ensemble Prediction System 被引量:3
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作者 Sijia LI Yuan WANG +2 位作者 Huiling YUAN Jinjie SONG Xin XU 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2016年第11期1297-1305,共9页
Ensemble forecasting has become the prevailing method in current operational weather forecasting. Although ensemble mean forecast skill has been studied for many ensemble prediction systems(EPSs) and different cases... Ensemble forecasting has become the prevailing method in current operational weather forecasting. Although ensemble mean forecast skill has been studied for many ensemble prediction systems(EPSs) and different cases, theoretical analysis regarding ensemble mean forecast skill has rarely been investigated, especially quantitative analysis without any assumptions of ensemble members. This paper investigates fundamental questions about the ensemble mean, such as the advantage of the ensemble mean over individual members, the potential skill of the ensemble mean, and the skill gain of the ensemble mean with increasing ensemble size. The average error coefficient between each pair of ensemble members is the most important factor in ensemble mean forecast skill, which determines the mean-square error of ensemble mean forecasts and the skill gain with increasing ensemble size. More members are useful if the errors of the members have lower correlations with each other, and vice versa. The theoretical investigation in this study is verified by application with the T213 EPS. A typical EPS has an average error coefficient of between 0.5 and 0.8; the 15-member T213 EPS used here reaches a saturation degree of 95%(i.e., maximum 5% skill gain by adding new members with similar skill to the existing members) for 1–10-day lead time predictions, as far as the mean-square error is concerned. 展开更多
关键词 skill ensemble Ensemble questions rarely verified forecast explain saturation discussion
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Top Chinese and U.S.Diplomats Discuss The Taiwan Question
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作者 Xinhua News Agency 《Beijing Review》 2007年第40期8-9,共2页
Chinese Foreign Minister YangJiechi and U.S. Secretary of State Condoleezza Rice met in New York
关键词 Ta Top Chinese and U.S.Diplomats Discuss The Taiwan question
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