Detecting Context Dependent Messages in a Conversational Environment

COLING 2016 Chaozhuo LiYu WuWei WuChen XingZhoujun LiMing Zhou

While automatic response generation for building chatbot systems has drawn a lot of attention recently, there is limited understanding on when we need to consider the linguistic context of an input text in the generation process. The task is challenging, as messages in a conversational environment are short and informal, and evidence that can indicate a message is context dependent is scarce... (read more)

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