For the complex questions of Chinese question answering system,we propose an answer extraction method with discourse structure feature combination.This method uses the relevance of questions and answers to learn to ra...For the complex questions of Chinese question answering system,we propose an answer extraction method with discourse structure feature combination.This method uses the relevance of questions and answers to learn to rank the answers.Firstly,the method analyses questions to generate the query string,and then submits the query string to search engines to retrieve relevant documents.Secondly,the method makes retrieved documents segmentation and identifies the most relevant candidate answers,in addition,it uses the rhetorical relations of rhetorical structure theory to analyze the relationship to determine the inherent relationship between paragraphs or sentences and generate the answer candidate paragraphs or sentences.Thirdly,we construct the answer ranking model,and extract five feature groups and adopt Ranking Support Vector Machine(SVM) algorithm to train ranking model.Finally,it re-ranks the answers with the training model and find the optimal answers.Experiments show that the proposed method combined with discourse structure features can effectively improve the answer extracting accuracy and the quality of non-factoid answers.The Mean Reciprocal Rank(MRR) of the answer extraction reaches 69.53%.展开更多
We propose a method that can achieve the Naxi-English bilingual word automatic alignment based on a log-linear model.This method defines the different Naxi-English structural feature functions,which are English-Naxi i...We propose a method that can achieve the Naxi-English bilingual word automatic alignment based on a log-linear model.This method defines the different Naxi-English structural feature functions,which are English-Naxi interval switching function and Naxi-English bilingual word position transformation function.With the manually labeled Naxi-English words alignment corpus,the parameters of the model are trained by using the minimum error,thus Naxi-English bilingual word alignment is achieved automatically.Experiments are conducted with IBM Model 3 as a benchmark,and the Naxi language constraints are introduced.The final experiment results show that the proposed alignment method achieves very good results:the introduction of the language characteristic function can effectively improve the accuracy of the Naxi-English Bilingual Word Alignment.展开更多
在昆柳龙多端混合直流输电工程背景下,为研究多端混合直流输电系统交流侧的故障响应特性,建立了基于数字信号处理(digital signal processing,DSP)的多端混合直流输电系统的机电暂态模型。在此基础上,对多端混合直流输电系统各端交流侧...在昆柳龙多端混合直流输电工程背景下,为研究多端混合直流输电系统交流侧的故障响应特性,建立了基于数字信号处理(digital signal processing,DSP)的多端混合直流输电系统的机电暂态模型。在此基础上,对多端混合直流输电系统各端交流侧进行三相接地故障(交流侧电压降至0)仿真,得到了不同情况下的系统交流侧故障响应特性,并将结果与PSCAD(power systems computer aided design)的仿真结果进行对比,发现两者主要电气量的波形基本一致,验证了该模型的准确性,为本工程后续仿真计算的研究工作提供了基础条件和技术参考。展开更多
基金supported by the National Nature Science Foundation of China under Grants No.60863011,No.61175068,No.61100205,No.60873001the Fundamental Research Funds for the Central Universities under Grant No.2009RC0212+1 种基金the National Innovation Fund for Technology based Firms under Grant No.11C26215305905the Open Fund of Software Engineering Key Laboratory of Yunnan Province under Grant No.2011SE14
文摘For the complex questions of Chinese question answering system,we propose an answer extraction method with discourse structure feature combination.This method uses the relevance of questions and answers to learn to rank the answers.Firstly,the method analyses questions to generate the query string,and then submits the query string to search engines to retrieve relevant documents.Secondly,the method makes retrieved documents segmentation and identifies the most relevant candidate answers,in addition,it uses the rhetorical relations of rhetorical structure theory to analyze the relationship to determine the inherent relationship between paragraphs or sentences and generate the answer candidate paragraphs or sentences.Thirdly,we construct the answer ranking model,and extract five feature groups and adopt Ranking Support Vector Machine(SVM) algorithm to train ranking model.Finally,it re-ranks the answers with the training model and find the optimal answers.Experiments show that the proposed method combined with discourse structure features can effectively improve the answer extracting accuracy and the quality of non-factoid answers.The Mean Reciprocal Rank(MRR) of the answer extraction reaches 69.53%.
基金supported by the National Nature Science Foundation of China under Grants No.60863011,No.61175068,No.61100205,No.60873001the Fundamental Research Funds for the Central Universities under Grant No.2009RC0212+1 种基金the National Innovation Fund for Technology-based Firms under Grant No.11C26215305905the Open Fund of Software Engineering Key Laboratory of Yunnan Province under Grant No.2011SE14
文摘We propose a method that can achieve the Naxi-English bilingual word automatic alignment based on a log-linear model.This method defines the different Naxi-English structural feature functions,which are English-Naxi interval switching function and Naxi-English bilingual word position transformation function.With the manually labeled Naxi-English words alignment corpus,the parameters of the model are trained by using the minimum error,thus Naxi-English bilingual word alignment is achieved automatically.Experiments are conducted with IBM Model 3 as a benchmark,and the Naxi language constraints are introduced.The final experiment results show that the proposed alignment method achieves very good results:the introduction of the language characteristic function can effectively improve the accuracy of the Naxi-English Bilingual Word Alignment.
文摘在昆柳龙多端混合直流输电工程背景下,为研究多端混合直流输电系统交流侧的故障响应特性,建立了基于数字信号处理(digital signal processing,DSP)的多端混合直流输电系统的机电暂态模型。在此基础上,对多端混合直流输电系统各端交流侧进行三相接地故障(交流侧电压降至0)仿真,得到了不同情况下的系统交流侧故障响应特性,并将结果与PSCAD(power systems computer aided design)的仿真结果进行对比,发现两者主要电气量的波形基本一致,验证了该模型的准确性,为本工程后续仿真计算的研究工作提供了基础条件和技术参考。
