Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation


Automatically extracting social meaning and intention from spoken dialogue is an important task for dialogue and information extraction applications. We describe a system for solving the new task of detecting elements of interactional style: whether a speaker is awkward, friendly, or flirtatious. We create and use a new spoken corpus of approximately 1000 4… (More)


2 Figures and Tables


Citations per Year

52 Citations

Semantic Scholar estimates that this publication has 52 citations based on the available data.

See our FAQ for additional information.