Argument harvesting using chatbots

Much research in computational argumentation assumes that arguments 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 clustering arguments by their similarity and value, and an evaluation of our approach in a case study concerning attitudes of women to participation in sport

What Do We Know About the World? Rhetorical and Argumentative Perspectives

his book consists of selected papers delivered at “First International Conference on Rhetoric in Croatia: the Days of Ivo Škarić” in May, 2012, and subsequently revised for publication. Through a variety of different routes, the papers explore the role of rhetoric and argumentation in various types of public discourse and present interdisciplinary work connecting linguists, phoneticians, philosophers, law experts and communication scientists in the common ground of rhetoric and argumentation