针对API RP 2A-WSD 22版规范更新将对固定式海洋平台带来设计变化的问题,采用与旧版规范对比的方法对API新规范的引用标准、暴露分级及设计标准和方法等方面进行分析,包括底甲板高度算法、鲁棒性分析和抗震能力储备系数等重要变化。以...针对API RP 2A-WSD 22版规范更新将对固定式海洋平台带来设计变化的问题,采用与旧版规范对比的方法对API新规范的引用标准、暴露分级及设计标准和方法等方面进行分析,包括底甲板高度算法、鲁棒性分析和抗震能力储备系数等重要变化。以实际项目为算例,基于Pushover法计算平台的结构极限强度状态,分析表明,根据新版规范设计海洋平台,可以显著提高平台遭受极端工况的生存能力。展开更多
Word embedding has been widely used in word sense disambiguation(WSD)and many other tasks in recent years for it can well represent the semantics of words.However,the existing word embedding methods mostly represent e...Word embedding has been widely used in word sense disambiguation(WSD)and many other tasks in recent years for it can well represent the semantics of words.However,the existing word embedding methods mostly represent each word as a single vector,without considering the homonymy and polysemy of the word;thus,their performances are limited.In order to address this problem,an effective topical word embedding(TWE)‐based WSD method,named TWE‐WSD,is proposed,which integrates Latent Dirichlet Allocation(LDA)and word embedding.Instead of generating a single word vector(WV)for each word,TWE‐WSD generates a topical WV for each word under each topic.Effective integrating strategies are designed to obtain high quality contextual vectors.Extensive experiments on SemEval‐2013 and SemEval‐2015 for English all‐words tasks showed that TWE‐WSD outperforms other state‐of‐the‐art WSD methods,especially on nouns.展开更多
World Standards Day, celebrated on October 14 each year aims to highlight the importance of standards and recognize the contribution of global standardizers to facilitating world trade and economy and benefi ting peop...World Standards Day, celebrated on October 14 each year aims to highlight the importance of standards and recognize the contribution of global standardizers to facilitating world trade and economy and benefi ting people in their daily life.展开更多
文摘针对API RP 2A-WSD 22版规范更新将对固定式海洋平台带来设计变化的问题,采用与旧版规范对比的方法对API新规范的引用标准、暴露分级及设计标准和方法等方面进行分析,包括底甲板高度算法、鲁棒性分析和抗震能力储备系数等重要变化。以实际项目为算例,基于Pushover法计算平台的结构极限强度状态,分析表明,根据新版规范设计海洋平台,可以显著提高平台遭受极端工况的生存能力。
基金National Natural Science Foundation of China,Grant/Award Number:61562054The Fund of China Scholarship Council,Grant/Award Number:201908530036Talents Introduction Project of Guangxi University for Nationalities,Grant/Award Number:2014MDQD020。
文摘Word embedding has been widely used in word sense disambiguation(WSD)and many other tasks in recent years for it can well represent the semantics of words.However,the existing word embedding methods mostly represent each word as a single vector,without considering the homonymy and polysemy of the word;thus,their performances are limited.In order to address this problem,an effective topical word embedding(TWE)‐based WSD method,named TWE‐WSD,is proposed,which integrates Latent Dirichlet Allocation(LDA)and word embedding.Instead of generating a single word vector(WV)for each word,TWE‐WSD generates a topical WV for each word under each topic.Effective integrating strategies are designed to obtain high quality contextual vectors.Extensive experiments on SemEval‐2013 and SemEval‐2015 for English all‐words tasks showed that TWE‐WSD outperforms other state‐of‐the‐art WSD methods,especially on nouns.
文摘World Standards Day, celebrated on October 14 each year aims to highlight the importance of standards and recognize the contribution of global standardizers to facilitating world trade and economy and benefi ting people in their daily life.
