Generation Model

AbstractA key bottleneck for developing dialog models is the lack of adequate training data. Due to privacy issues, dialog data is even scarcer in the health domain. We propose a …...

AbstractDialogue participants often refer to entities or situations repeatedly within a conversation, which contributes to its cohesiveness. Subsequent references exploit the common ground accumulated by the interlocutors and hence have …...

Current storytelling systems focus more on generating stories with coherent plots regard- less of the narration style, which is impor- tant for controllable text generation. There- fore, we propose a …...

AbstractExtracting spatial relations from texts is a fundamental task for natural language understanding and previous studies only regard it as a classification task, ignoring those spatial relations with null roles …...