Argument Harvesting Using Chatbots
  Much research in computational argumentation assumes that arguments and
counterarguments can be obtained in some way. Yet, to improve and apply models
of argument, we need methods for acquiring them. Current approaches include
argument mining from text, hand coding of arguments by researchers, or
generating arguments from knowledge bases. In this paper, we propose a new
approach, which we call argument harvesting, that uses a chatbot to enter into
a dialogue with a participant to get arguments and counterarguments from him or
her. Because it is automated, the chatbot can be used repeatedly in many
dialogues, and thereby it can generate a large corpus. We describe the
architecture of the chatbot, provide methods for managing a corpus of arguments
and counterarguments, and an evaluation of our approach in a case study
concerning attitudes of women to participation in sport.
