no code implementations • NAACL 2018 • Pararth Shah, Dilek Hakkani-T{\"u}r, Bing Liu, Gokhan T{\"u}r
End-to-end neural models show great promise towards building conversational agents that are trained from data and on-line experience using supervised and reinforcement learning.
no code implementations • LREC 2016 • Yun-Nung Chen, Dilek Hakkani-T{\"u}r
This paper presents an extended set of annotations for the ICSI meeting corpus with a goal of deeply understanding meeting conversations, where participant turns are annotated by actionable items that could be performed by an automated meeting assistant.