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Article
Narrative context-based data-to-text generation for ambient intelligence
In this paper, we propose a language generation model for the world of ambient intelligence (AmI). Various devices in use today are connected to the Internet and are used to provide a considerable amount of in...
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Article
A novel density-based clustering method using word embedding features for dialogue intention recognition
In dialogue systems, understanding user utterances is crucial for providing appropriate responses. Various classification models have been proposed to deal with natural language understanding tasks related to ...