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Morphological analysis is an essential step for processing the Korean language, due to highly agglutinative properties of the language. In this paper, we propose a novel approach for constructing a Korean morphological analyzer that can capture linguistic properties using graphemes as basic processing units. Since our model does not utilize prior linguistic knowledge, the model can be applied to other...
The image annotation and retrieval are significant for semantic image retrieval that needs to establish the relations between linguistic labels and images. So the probabilistic formulation for semantic labeling is introduced to solve them. In addition, relevance feedback can improve the retrieval performance efficiently in the content-based image retrieval (CBIR). In this paper, we proposed a new...
The problem of implementing socially intelligent agents has been widely investigated in the field of both Embodied Conversational Agents (ECAs) and Social Robots that have the advantage of offering to people the possibility to relate with computer media at a social level. We focus our study on the recognition of the social response of users to embodied agents in the context of ambient intelligence...
Figure relation extraction is an important and hard field in information extraction. In this paper, aiming to improve the performance for relation extraction of historical figures, we propose a novel method based on bibliographic description. In the proposed method, by analyzing the species and co-occurrence relation of responsibility in a bibliographic record, we combine diverse person responsibility,...
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