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This paper proposed a recommended method of standard bibliography based on topic model which fused multi-feature. Firstly, the LDA topic model was used to analyze the standard resource which user concerned, then the user attention model was created by combined with the user's information, Secondly, by analyze the feature of standard bibliography documents in attribute, classification and association...
For characteristics of the sentence patterns in restricted domain question- answer system, we proposed an answer syntax pattern learning method combined with dependency syntax and sentence patterns of domain answers entity. Firstly, this method uses labeled type of questions and answers to recall candidate snippets, then dependency parsing and entity recognition are conducted on the snippets to extract...
To solve the difficulty of the field of Automatic Entity Relation Extraction, in this paper, a method that used binary classification thinking, meanwhile combined with reasoning rules to extract the field of entity relation is proposed. considering comprehensively the context information of entity, entity type and their combination of characteristics to construct the feature set, which in order to...
The domain knowledge has a direct impact on the result of question - answering (Q & A) in the restricted domain question answering system (QA). In this paper, a method of answer extraction for domain Chinese question-and-answer (Q&A) is proposed, which based on the analysis of interrogative sentence and the answer type, carrying on the text retrieval with the help of the domain knowledge and...
An approach of cooperative hunting for multiple mobile targets by multi-robot is presented, which divides the pursuiting process into forming the pursuiting groups and capturing the targets. The data sets of attribute relationship is built by consulting many factors about capturing evaders, then the interesting rules can be found by data mining from the data sets to build the pursuiting groups. Through...
To enhance the versatility, robustness, and convergence rate of automatic classification of images, an ant-colony-based classification model is proposed in this paper. According to the characteristics of the image classification, this model adopts and improves the traditional Ant-Colony algorithm. It defines two types of ants that have different search strategies and refreshing mechanisms. The stochastic...
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