Paper: Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation

ACL ID N09-1072
Title Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation
Venue Human Language Technologies
Session Main Conference
Year 2009
Authors

Automatically extracting social meaning and intention from spoken dialogue is an impor- tant task for dialogue systems and social com- puting. We describe a system for detecting elements of interactional style: whether a speaker is awkward, friendly, or flirtatious. We create and use a new spoken corpus of 991 4-minute speed-dates. Participants rated their interlocutors for these elements of style. Us- ing rich dialogue, lexical, and prosodic fea- tures, we are able to detect flirtatious, awk- ward, and friendly styles in noisy natural con- versational data with up to 75% accuracy, compared to a 50% baseline. We describe sim- ple ways to extract relatively rich dialogue fea- tures, and analyze which features performed similarly for men and women and which were gender-specific.