End-to-end Argument Generation System in Debating
Misa Sato, Kohsuke Yanai, Toshinori Miyoshi, Yanase Toshihiko, Makoto Iwayama, Qinghua Sun, Yoshiki Niwa · 2015
We introduce an argument generation system in debating, one that is based on sentence retrieval.Users can specify a motion such as This house should ban gambling, and a stance on whether the system agrees or disagrees with the motion.Then the system outputs three argument paragraphs based on "values" automatically decided by the system.The "value" indicates a topic that is considered as a positive or negative for people or communities, such as health and education.Each paragraph is related to one value and composed of about seven sentences.An evaluation over 50 motions from a popular debate website showed that the generated arguments are understandable in 64 paragraphs out of 150.