Automated essay scoring aims to score an essay automatically without any human *** methods heavily rely on manual feature engi-neering,making it expensive to extract the *** recent studies used neural-network-based sc...
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Automated essay scoring aims to score an essay automatically without any human *** methods heavily rely on manual feature engi-neering,making it expensive to extract the *** recent studies used neural-network-based scoring models to avoid feature *** of them used CNN or RNN to learn the representation of the *** these mod-els can cope with relationships between words within a short distance,they are limited in capturing long-distance relationships across *** particular,it is difficult to assess the coherence of the essay,which is an essential criterion in essay *** this paper,we use self-attention to capture useful long-distance relationships between words so as to estimate a coherence *** tested our model on two datasets(ASAP and a new non-native speaker dataset).In both cases,our model outperforms the existing state-of-the-art models.
With the development of social informatization technology,the problems of individual information security are becoming ***-adays identity identification has been required essentially in government and business *** thi...
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With the development of social informatization technology,the problems of individual information security are becoming ***-adays identity identification has been required essentially in government and business *** this paper,we summarize and analyze the identifica-tion principles and identification methods based on biometrics,including the present researches fingerprint,palmprint,iris,human face,vein,gait and signature,and make comparative analysis of the differences of the error recognition rate,stability,acquisition difficulty and counterfeiting ***,the prospects of biometric recognition technologies are discussed additionally.
This paper presents a simple and efiective method to verify similar vehicle *** order to provide a meaningful interpretation of the verification,we propose to detect the local difierences between two *** frame this ta...
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This paper presents a simple and efiective method to verify similar vehicle *** order to provide a meaningful interpretation of the verification,we propose to detect the local difierences between two *** frame this task as a saliency map regression problem,where the saliency map measures the degree of discrepancy at every *** achieve this goal,we use a convolutional neural network(CNN)to map two aligned vehicle images to one saliency *** network design enables end-to-end *** validate our algorithm on a vehicle image *** results show that our approach is accurate,fast and robust,and it achieves better performance than other methods.
Community search plays an important role in complex network *** aims to find a densely connected subgraph containing the query node in a ***,the most existing community search methods do not consider the influence of ...
Community search plays an important role in complex network *** aims to find a densely connected subgraph containing the query node in a ***,the most existing community search methods do not consider the influence of nodes and can not perfectly support the search in large graphs,making them have limitations in practical *** this paper,we introduce a community model called center-core community based on k-core decomposition,which can both capture the influence of nodes and guarantee the cohesiveness of *** we devise a center-core community graph index(CCG-Index),and online search algorithms(SingleQuery and MultiQuery)which support efficient search of center-core community in optimal *** experiments on four real-world large networks demonstrate the efficiency and effectiveness of our methods.
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