Identification of action items in meeting recordings can provide immediate access to salient information in a medium notoriously difficult to search and summarize. To this end, we use a maximum entropy model to automatically detect action itemrelated utterances from multi-party audio meeting recordings. We compare the effect of lexical, temporal, syntactic, semantic, and prosodic features on sy...