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    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 ...

    Jungsun Jang, Yeonsoo Lee, Seolhwa Lee, Dongwon Shin, Dongjun Kim in Cluster Computing (2016)