This paper has proposed a new methodology extracting stability classes of field association words depending on automatically power link analysis to enhance the precision of decision tree. In this paper, we have studie...This paper has proposed a new methodology extracting stability classes of field association words depending on automatically power link analysis to enhance the precision of decision tree. In this paper, we have studied the effects of the time variation based on the frequencies of specific words called field association words that connected to documents using power link in a specific period. The stability classes have referred to the popularity of field association words based on the change of time in a given period. The new approach has evaluated by conducting experiments simulating results of 1575 files (about 5.16 MB). Based on these experiments, it has turned out that, the F-measure for ascending, stable and descending classes have achieved 93.6%, 99.8% and 75.7%, respectively. These results mean that F-measure was increasing by 12%, 4% and 34% than traditional methods because of the power link analysis.展开更多
近年来,得益于人工智能技术(Artificial Intelligence,AI)的快速发展,关于自动求解数学应用题(Math Word Problem,MWP)的研究越来越趋向成熟。在自动求解数学应用题任务中,对问题文本进行建模至关重要。针对这一问题,文章提出了一个基...近年来,得益于人工智能技术(Artificial Intelligence,AI)的快速发展,关于自动求解数学应用题(Math Word Problem,MWP)的研究越来越趋向成熟。在自动求解数学应用题任务中,对问题文本进行建模至关重要。针对这一问题,文章提出了一个基于循环神经网络(Recursive Neural Network,RNN)和Transformer编码网络的双路文本编码器(Dual Channel Text Encoder,DCTE):首先,使用循环神经网络对文本进行初步的编码;然后,利用基于自注意力(Self-attention)机制的Transformer编码网络来获得词语的远距离上下文语义信息,以增强词语和文本的语义表征。结合DCTE和GTS(Goal-Driven Tree-structured MWP Solver)解码器,得到了数学应用题求解器(DCTE-GTS模型),并在Math23k数据集上,将该模型与Graph2Tree、HMS等模型进行了对比实验;同时,为探讨编码器配置方法对模型效果的影响,进行了消融实验。对比实验结果表明:DCTE-GTS模型均优于各基准模型,答案正确率达到77.6%。消融实验结果表明双路编码器的配置方法是最优的。展开更多
[Objective] The aim was to explore climatic characteristics of cold and frost disaster and the effects on flowers and trees in mountain city in 2010. [Method] Extremism of cold and frost disaster in temperature and la...[Objective] The aim was to explore climatic characteristics of cold and frost disaster and the effects on flowers and trees in mountain city in 2010. [Method] Extremism of cold and frost disaster in temperature and lasting period, and the effects on flowers and trees in 2010 were researched based on information of average ten-day temperatures and extreme lowest temperature in 1951-2010 and Michelia alba DC. growth in a Hou in 2008-2010, as per statistical analysis technique. [Result] Cold and frost disaster in winter of 2010 proved the longest in lasting period, lowest in average temperature, and most serious for flowers and trees, resulting in serious loss of flowers and trees in Beibei area. [Conclusion] Countermeasures in the research would reduce owners’ loss in flowers and trees.展开更多
目前大多数方面级情感分类研究都忽略了方面词的建模,以及方面词与上下文之间的交互信息,并且难以体现语法上与方面词有直接联系上下文单词的重要程度。针对上述问题,提出基于方面词交互(aspect word interaction,AWI)和图卷积网络(grap...目前大多数方面级情感分类研究都忽略了方面词的建模,以及方面词与上下文之间的交互信息,并且难以体现语法上与方面词有直接联系上下文单词的重要程度。针对上述问题,提出基于方面词交互(aspect word interaction,AWI)和图卷积网络(graph convolutional network,GCN)的方面级情感分类模型(AWI-GCN)。使用双向长短期记忆网络(bi-directional long short-term memory,Bi-LSTM)分别提取方面词和上下文的特征;采用GCN根据句法依存树进一步提取与方面词有直接语法联系的上下文情感特征;利用注意力机制学习方面词与上下文的交互信息,同时提取上下文中为方面词情感分类做出重要贡献的情感特征。针对3个公开数据集上的仿真实验结果表明,AWI-GCN模型相比当前代表模型取得了更好的情感分类效果。展开更多
文摘This paper has proposed a new methodology extracting stability classes of field association words depending on automatically power link analysis to enhance the precision of decision tree. In this paper, we have studied the effects of the time variation based on the frequencies of specific words called field association words that connected to documents using power link in a specific period. The stability classes have referred to the popularity of field association words based on the change of time in a given period. The new approach has evaluated by conducting experiments simulating results of 1575 files (about 5.16 MB). Based on these experiments, it has turned out that, the F-measure for ascending, stable and descending classes have achieved 93.6%, 99.8% and 75.7%, respectively. These results mean that F-measure was increasing by 12%, 4% and 34% than traditional methods because of the power link analysis.
文摘[Objective] The aim was to explore climatic characteristics of cold and frost disaster and the effects on flowers and trees in mountain city in 2010. [Method] Extremism of cold and frost disaster in temperature and lasting period, and the effects on flowers and trees in 2010 were researched based on information of average ten-day temperatures and extreme lowest temperature in 1951-2010 and Michelia alba DC. growth in a Hou in 2008-2010, as per statistical analysis technique. [Result] Cold and frost disaster in winter of 2010 proved the longest in lasting period, lowest in average temperature, and most serious for flowers and trees, resulting in serious loss of flowers and trees in Beibei area. [Conclusion] Countermeasures in the research would reduce owners’ loss in flowers and trees.
文摘目前大多数方面级情感分类研究都忽略了方面词的建模,以及方面词与上下文之间的交互信息,并且难以体现语法上与方面词有直接联系上下文单词的重要程度。针对上述问题,提出基于方面词交互(aspect word interaction,AWI)和图卷积网络(graph convolutional network,GCN)的方面级情感分类模型(AWI-GCN)。使用双向长短期记忆网络(bi-directional long short-term memory,Bi-LSTM)分别提取方面词和上下文的特征;采用GCN根据句法依存树进一步提取与方面词有直接语法联系的上下文情感特征;利用注意力机制学习方面词与上下文的交互信息,同时提取上下文中为方面词情感分类做出重要贡献的情感特征。针对3个公开数据集上的仿真实验结果表明,AWI-GCN模型相比当前代表模型取得了更好的情感分类效果。
