Titlebook: Conversational AI for Natural Human-Centric Interaction; 12th International W Svetlana Stoyanchev,Stefan Ultes,Haizhou Li Conference procee

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Personalized Extractive Summarization with?Discourse Structure Constraints Towards Efficient and Cohon the user’s profile obtained from a questionnaire and the word embeddings of BERT. Experiments confirm that the personalized summaries generated by the proposed method transmit information more efficiently than generic summaries generated based solely on the importance of sentences.

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A WoZ Study for?an?Incremental Proficiency Scoring Interview Agent Eliciting Ratable Samplesnd collect interview data using a Wizard-of-Oz virtual agent. Next, we build an incremental scoring model and analyze the accuracy. Finally, we discuss the future direction of automated adaptive interview system design.

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Growth limitations in microcarrier cultures,ncepts of dialogue context are extracted for the GPT-2 decoder. The experiment results demonstrate that the empathetic dialogue generation benefits from both pre-trained encoder-decoder architecture and external knowledge.

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