Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences

EMNLP 2017 Yohan JoMichael YoderHyeju JangCarolyn Ros{\'e}

We present an unsupervised model of dialogue act sequences in conversation. By modeling topical themes as transitioning more slowly than dialogue acts in conversation, our model de-emphasizes content-related words in order to focus on conversational function words that signal dialogue acts... (read more)

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